{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,29]],"date-time":"2026-03-29T10:26:17Z","timestamp":1774779977177,"version":"3.50.1"},"reference-count":267,"publisher":"Emerald","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,10,2]]},"abstract":"<jats:p>This survey highlights the evolution of techniques within misinformation detection. Misinformation has become increasingly prevalent on the Internet by the day and progressively more threatening. Individuals who are inaccurately informed tend to make misinformed decisions which have led to voting scandals, traffic accidents, and even health concerns. We are motivated to address a research gap by analyzing misinformation detection\u2019s overall progress and exposing the weaknesses that provide research opportunities. Our findings will further advance the work of misinformation detection and bring light to unique ways to tackle the issue. Notably, we discuss the significance of misinformation detection systems and present the problems resulting from misinformation, the techniques for detection, and open issues within this research. Misinformation is becoming an issue that requires more attention and improved systems. We believe that our systematic review and synthesis of state-of-art research will cultivate a path for these developments.<\/jats:p>","DOI":"10.1561\/2900000037","type":"journal-article","created":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T04:32:12Z","timestamp":1727843532000},"page":"66-147","source":"Crossref","is-referenced-by-count":1,"title":["Misinformation Detection: A Survey of AI Techniques and Research Opportunities"],"prefix":"10.1561","volume":"8","author":[{"given":"Gabrielle","family":"Taylor","sequence":"first","affiliation":[{"name":"Multiplan ,","place":["USA"]}]},{"given":"Wenting","family":"Jiang","sequence":"additional","affiliation":[{"name":"Oklahoma State University ,","place":["USA"]}]},{"given":"Xiao","family":"Qin","sequence":"additional","affiliation":[{"name":"Auburn University ,","place":["USA"]}]},{"given":"Ashish","family":"Gupta","sequence":"additional","affiliation":[{"name":"Auburn University ,","place":["USA"]}]}],"member":"140","published-online":{"date-parts":[[2024,10,2]]},"reference":[{"key":"2026032900324324600_ref001","doi-asserted-by":"crossref","first-page":"466","DOI":"10.1145\/3350546.3352569","article-title":"A graph-theoretic embedding-based approach for rumor detection in twitter,","author":"Abulaish","year":"2019","journal-title":"IEEE\/WIC\/ACM International Conference on Web Intelligence"},{"key":"2026032900324324600_ref002","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1109\/CCOMS.2018.8463282","article-title":"Implementing fact-checking in journalistic articles shared on social media in the philippines using knowledge graphs,","author":"Acula","year":"2018","journal-title":"2018 3rd International Conference on Computer and Communication Systems (ICCCS)"},{"key":"2026032900324324600_ref003","author":"Adelson","year":"2017","journal-title":"Clickbait; didn\u2019t read: Clickbait detection using parallel neural networks"},{"key":"2026032900324324600_ref004","first-page":"1","article-title":"Twitter spam account detection based on clustering and classification methods,","author":"Adewole","year":"2018","journal-title":"The Journal of Supercomputing"},{"issue":"7","key":"2026032900324324600_ref005","first-page":"251","article-title":"Detection of fake review and brand spam using data mining,","volume":"2","author":"Adike","year":"2016","journal-title":"Int J Recent Trends Eng Res"},{"issue":"6","key":"2026032900324324600_ref006","article-title":"Fake news detection using machine learning and natural language processing,","volume":"7","author":"Agarwalla","year":"2019","journal-title":"International Journal of Recent Technology and Engineering (IJRTE)"},{"key":"2026032900324324600_ref007","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1109\/NGCT.2016.7877426","article-title":"Clickbait detection using deep learning,","author":"Agrawal","year":"2016","journal-title":"2016 2nd International Conference on Next Generation Computing Technologies (NGCT)"},{"key":"2026032900324324600_ref008","first-page":"102","article-title":"Satire detection from web documents using machine learning methods,","author":"Ahmad","year":"2014","journal-title":"2014 International Conference on Soft Computing and Machine Intelligence"},{"key":"2026032900324324600_ref009","first-page":"127","article-title":"Detection of online fake news using n-gram analysis and machine learning techniques,","author":"Ahmed","year":"2017","journal-title":"International Conference on Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments"},{"key":"2026032900324324600_ref010","doi-asserted-by":"crossref","first-page":"45","DOI":"10.33832\/ijast.2019.128.05","article-title":"Detection of context varying rumors on twitter through deep learning,","volume":"128","author":"Ahsan","year":"2019","journal-title":"Int. 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L. Rev"},{"key":"2026032900324324600_ref054","article-title":"Towards automatic identification of fake news: Headline-article stance detection with lstm attention models,","author":"Chopra","year":"2017","journal-title":"Stanford CS224d Deep Learning for NLP final project"},{"key":"2026032900324324600_ref055","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.chb.2021.106716","article-title":"Machine learning techniques and older adults processing of online information and misinformation: A covid 19 study,","author":"Choudrie","year":"2021","journal-title":"Computers in Human Behavior"},{"issue":"50","key":"2026032900324324600_ref056","doi-asserted-by":"crossref","first-page":"16","DOI":"10.5120\/ijca2018917316","article-title":"Fake review detection using classification,","volume":"180","author":"Chowdhary","year":"2018","journal-title":"International Journal of Computer Applications"},{"key":"2026032900324324600_ref057","doi-asserted-by":"crossref","first-page":"40","DOI":"10.18653\/v1\/W18-5507","article-title":"Towards automatic fake news detection: Cross-level stance detection in news articles,","author":"Conforti","year":"2018","journal-title":"Proceedings of the First Workshop on Fact Extraction and VERification (FEVER)"},{"issue":"1","key":"2026032900324324600_ref058","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/pra2.2015.145052010082","article-title":"Automatic deception detection: Methods for finding fake news,","volume":"52","author":"Conroy","year":"2015","journal-title":"Proceedings of the Association for Information Science and Technology"},{"key":"2026032900324324600_ref059","article-title":"Clickbait article detection using deep learning: These results will shock you!,","author":"Cornn","year":"2018"},{"key":"2026032900324324600_ref060","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1007\/978-3-030-73696-5_16","article-title":"A heuristic-driven ensemble framework for covid-19 fake news detection,","author":"Das","year":"2021","journal-title":"Combating Online Hostile Posts in Regional Languages during Emergency Situation: First International Workshop, CONSTRAINT 2021, Collocated with AAAI 2021, Virtual Event, February 8, 2021, Revised Selected Papers 1"},{"key":"2026032900324324600_ref061","author":"Davis","year":"2017","journal-title":"Fake news, real consequences: Recruiting neural networks for the fight against fake news"},{"key":"2026032900324324600_ref062","first-page":"1","article-title":"Rumor detection in twitter: An analysis in retrospect,","author":"Dayani","year":"2015","journal-title":"2015 IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS)"},{"key":"2026032900324324600_ref063","first-page":"3371","article-title":"Attending sentences to detect satirical fake news,","author":"De Sarkar","year":"2018","journal-title":"Proceedings of the 27th International Conference on Computational Linguistics"},{"key":"2026032900324324600_ref064","first-page":"507","article-title":"Using sentiwordnet for multilingual sentiment analysis,","author":"Denecke","year":"2008","journal-title":"2008 IEEE 24th International Conference on Data Engineering Workshop"},{"key":"2026032900324324600_ref065","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1109\/CCAA.2016.7813707","article-title":"Techniques for sentiment analysis of twitter data: A comprehensive survey,","author":"Desai","year":"2016","journal-title":"2016 International Conference on Computing, Communication and Automation (ICCCA)"},{"issue":"6","key":"2026032900324324600_ref066","doi-asserted-by":"crossref","first-page":"2946","DOI":"10.21817\/ijet\/2016\/v8i6\/160806257","article-title":"Spam review detection through lexical chain based semantic similarity algorithm (lcbss) for negative reviews,","volume":"8","author":"Dewang","year":"2016","journal-title":"International Journal of Engineering and Technology (IJET)"},{"key":"2026032900324324600_ref067","article-title":"Survey on review spam detection,","author":"Dixit","year":"2013"},{"issue":"7","key":"2026032900324324600_ref068","article-title":"Detecting rumor in social networks using svm and comparing with supervised techniques,","volume":"6","author":"Donda","year":"2019","journal-title":"International Journal of Research"},{"key":"2026032900324324600_ref069","first-page":"56","article-title":"Similarity-aware deep attentive model for clickbait detection,","author":"Dong","year":"2019","journal-title":"Pacific-Asia Conference on Knowledge Discovery and Data Mining"},{"key":"2026032900324324600_ref070","first-page":"2051","article-title":"User preference-aware fake news detection,","author":"Dou","year":"2021","journal-title":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval"},{"key":"2026032900324324600_ref071","first-page":"125","article-title":"Provenance-based rumor detection,","author":"Duong","year":"2017","journal-title":"Australasian Database Conference"},{"key":"2026032900324324600_ref072","first-page":"65","article-title":"Detecting fake reviews through sentiment analysis using machine learning techniques,","author":"Elmurngi","year":"2017","journal-title":"IARIA\/data analytics"},{"key":"2026032900324324600_ref073","article-title":"Neural abstractive text summarization and fake news detection,","author":"Esmaeilzadeh","year":"2019"},{"issue":"5","key":"2026032900324324600_ref074","doi-asserted-by":"crossref","first-page":"830","DOI":"10.1109\/TCSS.2019.2931186","article-title":"Computational rumor detection without non-rumor: A one-class classification approach,","volume":"6","author":"Fard","year":"2019","journal-title":"IEEE Transactions on Computational Social Systems"},{"key":"2026032900324324600_ref075","article-title":"Spam detection : A review,","author":"Farooq","year":"2016"},{"key":"2026032900324324600_ref076","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.eswa.2020.113503","article-title":"Fake news detection in multiple platforms and languages,","volume":"158","author":"Faustini","year":"2020","journal-title":"Expert Systems with Applications"},{"key":"2026032900324324600_ref077","article-title":"Review spam detection: A network-based approach,","volume":"590","author":"Fayazbakhsh","year":"2012","journal-title":"Final project report: CSE"},{"key":"2026032900324324600_ref078","first-page":"233","article-title":"Uncovering crowdsourced manipulation of online reviews,","author":"Fayazi","year":"2015","journal-title":"Proceedings of the 38th international ACM SIGIR conference on research and development in information retrieval"},{"key":"2026032900324324600_ref079","article-title":"Exploiting burstiness in reviews for review spammer detection,","author":"Fei","year":"2013","journal-title":"Seventh international AAAI conference on weblogs and social media"},{"key":"2026032900324324600_ref080","first-page":"1163","article-title":"Emergent: A novel data-set for stance classification,","author":"Ferreira","year":"2016","journal-title":"Proceedings of the 2016 conference of the North American chapter of the association for computational linguistics: Human language technologies"},{"key":"2026032900324324600_ref081","doi-asserted-by":"crossref","DOI":"10.3115\/v1\/E14-1030","article-title":"Identifying fake amazon reviews as learning from crowds,","author":"Fornaciari","year":"2014"},{"key":"2026032900324324600_ref082","first-page":"4137","article-title":"Satiriclr: A language resource of satirical news articles,","author":"Frain","year":"2016","journal-title":"Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC\u201916)"},{"key":"2026032900324324600_ref083","first-page":"6","article-title":"A convolutional neural network for clickbait detection,","author":"Fu","year":"2017","journal-title":"2017 4th International Conference on Information Science and Control Engineering (ICISCE)"},{"issue":"1","key":"2026032900324324600_ref084","first-page":"817","article-title":"Fake news detection,","volume":"4","author":"Gahirwal","year":"2018","journal-title":"International Journal of Advance Research, Ideas and Innovations in Technology"},{"key":"2026032900324324600_ref085","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1145\/2187836.2187846","article-title":"Understanding and combating link farming in the twitter social network,","author":"Ghosh","year":"2012","journal-title":"Proceedings of the 21st international conference on World Wide Web"},{"key":"2026032900324324600_ref086","first-page":"185","article-title":"Determining the veracity of rumours on twitter,","author":"Giasemidis","year":"2016","journal-title":"International Conference on Social Informatics"},{"key":"2026032900324324600_ref087","author":"Gleick","year":"2011","journal-title":"The information: A history, a theory, a flood"},{"key":"2026032900324324600_ref088","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1145\/3201064.3201100","article-title":"Fake news vs satire: A dataset and analysis,","author":"Golbeck","year":"2018","journal-title":"Proceedings of the 10th ACM Conference on Web 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satire,","author":"Guibon","year":"2019"},{"issue":"1","key":"2026032900324324600_ref093","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3461697","article-title":"An effective approach for rumor detection of arabic tweets using extreme gradient boosting method,","volume":"21","author":"Gumaei","year":"2022","journal-title":"Transactions on Asian and Low-Resource Language Information Processing"},{"key":"2026032900324324600_ref094","first-page":"943","article-title":"Rumor detection with hierarchical social attention network,","author":"Guo","year":"2018","journal-title":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management"},{"key":"2026032900324324600_ref095","doi-asserted-by":"crossref","first-page":"729","DOI":"10.1145\/2487788.2488033","article-title":"Faking sandy: Characterizing and identifying fake images on twitter during hurricane sandy,","author":"Gupta","year":"2013","journal-title":"Proceedings of the 22nd international conference on World Wide Web"},{"key":"2026032900324324600_ref096","article-title":"Understanding patterns of covid infodemic: A systematic and pragmatic approach to curb fake news,","author":"Gupta","year":"2021","journal-title":"Journal of business research"},{"key":"2026032900324324600_ref097","article-title":"Stance detection for the fake news challenge,","author":"Gupta","year":"2017"},{"key":"2026032900324324600_ref098","doi-asserted-by":"crossref","first-page":"3","DOI":"10.18653\/v1\/W16-0403","article-title":"Rumor identification and belief investigation on twitter,","author":"Hamidian","year":"2016","journal-title":"Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis"},{"key":"2026032900324324600_ref099","article-title":"Rumor detection and classification for twitter data,","author":"Hamidian","year":"2019"},{"key":"2026032900324324600_ref100","article-title":"A retrospective analysis of the fake news challenge stance detection task,","author":"Hanselowski","year":"2018"},{"key":"2026032900324324600_ref101","doi-asserted-by":"crossref","first-page":"052","DOI":"10.1088\/1757-899X\/1098\/5\/052081","article-title":"Fake news classification for indonesian news using extreme gradient boosting (xgboost),","volume":"1098","author":"Haumahu","year":"2021","journal-title":"IOP Conference Series: Materials Science and Engineering"},{"key":"2026032900324324600_ref102","doi-asserted-by":"crossref","DOI":"10.1609\/icwsm.v11i1.14976","article-title":"This just in: Fake news packs a lot in title, uses simpler, repetitive content in text body, more similar to satire than real news,","author":"Horne","year":"2017","journal-title":"Eleventh International AAAI Conference on Web and Social Media"},{"key":"2026032900324324600_ref103","article-title":"Banfakenews: A dataset for detecting fake news in bangla,","author":"Hossain","year":"2020"},{"key":"2026032900324324600_ref104","article-title":"Unsupervised content-based identification of fake news articles with tensor decomposition ensembles,","author":"Hosseinimotlagh","year":"2018","journal-title":"Proceedings of the Workshop on Misinformation and Misbehavior Mining on the Web (MIS2)"},{"key":"2026032900324324600_ref105","article-title":"Clickbait detection using word embeddings,","author":"Indurthi","year":"2017"},{"key":"2026032900324324600_ref106","doi-asserted-by":"crossref","first-page":"2015","DOI":"10.1109\/ICACCI.2016.7732347","article-title":"Towards automated realtime detection of misinformation on twitter,","author":"Jain","year":"2016","journal-title":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)"},{"key":"2026032900324324600_ref107","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.chb.2018.02.032","article-title":"A computational approach for examining the roots and spreading patterns of fake news: Evolution tree analysis,","volume":"84","author":"Jang","year":"2018","journal-title":"Computers in Human Behavior"},{"issue":"6","key":"2026032900324324600_ref108","first-page":"167","article-title":"Identification of rumor-spreading platform in microblogging systems,","volume":"11","author":"Jayaprakash","year":"2017","journal-title":"Advances in Natural and Applied Sciences"},{"key":"2026032900324324600_ref109","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1145\/3123266.3123454","article-title":"Multimodal fusion with recurrent neural networks for rumor detection on microblogs,","author":"Jin","year":"2017","journal-title":"Proceedings of the 25th ACM international conference on Multimedia"},{"key":"2026032900324324600_ref110","first-page":"14","article-title":"Detection and analysis of 2016 us presidential election related rumors on twitter,","author":"Jin","year":"2017","journal-title":"International conference on social computing, behavioral-cultural modeling and prediction and behavior representation in modeling and simulation"},{"key":"2026032900324324600_ref111","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1109\/ICDM.2014.91","article-title":"News credibility evaluation on microblog with a hierarchical propagation model,","author":"Jin","year":"2014","journal-title":"2014 IEEE International Conference on Data Mining"},{"key":"2026032900324324600_ref112","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v30i1.10382","article-title":"News verification by exploiting conflicting social viewpoints in microblogs,","author":"Jin","year":"2016","journal-title":"Thirtieth AAAI conference on artificial intelligence"},{"issue":"3","key":"2026032900324324600_ref113","doi-asserted-by":"crossref","first-page":"598","DOI":"10.1109\/TMM.2016.2617078","article-title":"Novel visual and statistical image features for microblogs news verification,","volume":"19","author":"Jin","year":"2016","journal-title":"IEEE transactions on multimedia"},{"key":"2026032900324324600_ref114","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1007\/978-3-319-99073-6_7","article-title":"Stay on-topic: Generating context-specific fake restaurant reviews,","author":"Juuti","year":"2018","journal-title":"European Symposium on Research in Computer Security"},{"key":"2026032900324324600_ref115","author":"K","year":"2019","journal-title":"Emotion cognizance improves health fake news identification"},{"key":"2026032900324324600_ref116","first-page":"1","article-title":"Misinformation detection on online social media-a survey","author":"Kaliyar","year":"2019","journal-title":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)"},{"key":"2026032900324324600_ref117","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/978-3-030-73696-5_20","article-title":"Hostility detection in hindi leveraging pre-trained language models,","author":"Kamal","year":"2021","journal-title":"Combating Online Hostile Posts in Regional Languages during Emergency Situation: First International Workshop, CONSTRAINT 2021, Collocated with AAAI 2021, Virtual Event, February 8, 2021, Revised Selected Papers 1"},{"key":"2026032900324324600_ref118","doi-asserted-by":"crossref","first-page":"1443","DOI":"10.18653\/v1\/D13-1150","article-title":"Where not to eat? improving public policy by predicting hygiene inspections using online reviews","author":"Kang","year":"2013","journal-title":"Proceedings of the 2013 conference on empirical methods in natural language processing"},{"key":"2026032900324324600_ref119","article-title":"A benchmark study on machine learning methods for fake news detection,","author":"Khan","year":"2019"},{"key":"2026032900324324600_ref120","article-title":"The linguistic features of fake news headlines and statements,","author":"Khurana","year":"2017"},{"key":"2026032900324324600_ref121","doi-asserted-by":"crossref","DOI":"10.3115\/v1\/D14-1181","article-title":"Convolutional neural networks for sentence classification,","author":"Kim","year":"2014"},{"key":"2026032900324324600_ref122","doi-asserted-by":"crossref","first-page":"150 709","DOI":"10.1109\/ACCESS.2020.3016664","article-title":"Do many models make light work? evaluating ensemble solutions for improved rumor detection,","volume":"8","author":"Kim","year":"2020","journal-title":"IEEE Access"},{"key":"2026032900324324600_ref123","first-page":"1","article-title":"Thai clickbait detection algorithms using natural language processing with machine learning techniques,","author":"Klairith","year":"2018","journal-title":"2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST)"},{"key":"2026032900324324600_ref124","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/S17-2083","article-title":"Turing at semeval-2017 task 8: Sequential approach to rumour stance classification with branch-lstm,","author":"Kochkina","year":"2017"},{"issue":"4","key":"2026032900324324600_ref125","first-page":"3523","article-title":"Fake review and brand spam detection using j48 classifier,","volume":"6","author":"Kokate","year":"2015","journal-title":"IJCSIT Int J Comput Sci Inf Technol"},{"issue":"1","key":"2026032900324324600_ref126","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13673-014-0014-x","article-title":"Detecting misinformation in online social networks using cognitive psychology,","volume":"4","author":"Kumar","year":"2014","journal-title":"Human-centric Computing and Information Sciences"},{"key":"2026032900324324600_ref127","doi-asserted-by":"crossref","first-page":"5047","DOI":"10.18653\/v1\/P19-1498","article-title":"Tree lstms with convolution units to predict stance and rumor veracity in social media conversations,","author":"Kumar","year":"2019","journal-title":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics"},{"key":"2026032900324324600_ref128","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.osnem.2017.12.002","article-title":"Politics, sentiments, and misinformation: An analysis of the twitter discussion on the 2016 austrian presidential elections,","volume":"5","author":"Ku\u0161en","year":"2018","journal-title":"Online Social Networks and Media"},{"key":"2026032900324324600_ref129","first-page":"1103","article-title":"Prominent features of rumor propagation in online social media,","author":"Kwon","year":"2013","journal-title":"2013 IEEE 13th International Conference on Data Mining"},{"issue":"12","key":"2026032900324324600_ref130","doi-asserted-by":"publisher","first-page":"1990","DOI":"10.14778\/3352063.3352117","article-title":"Combating fake news: A data management and mining perspective,","volume":"12","author":"Lakshmanan","year":"2019","journal-title":"Proc. VLDB Endow"},{"key":"2026032900324324600_ref131","article-title":"Identification of fake reviews using supervised machine learning,","author":"Lakshmikanth","year":"2022"},{"key":"2026032900324324600_ref132","first-page":"1188","article-title":"Distributed representations of sentences and documents,","author":"Le","year":"2014","journal-title":"International conference on machine learning"},{"key":"2026032900324324600_ref133","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/D19-5004","article-title":"Identifying nuances in fake news vs. satire: Using semantic and linguistic cues,","author":"Levi","year":"2019"},{"key":"2026032900324324600_ref134","doi-asserted-by":"crossref","first-page":"899","DOI":"10.1109\/ICDM.2014.47","article-title":"Spotting fake reviews via collective positive-unlabeled learning,","author":"Li","year":"2014","journal-title":"2014 IEEE international conference on data mining"},{"key":"2026032900324324600_ref135","first-page":"106","article-title":"Exploring text-transformers in aaai 2021 shared task: Covid-19 fake news detection in english,","author":"Li","year":"2021","journal-title":"International Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situation"},{"issue":"14","key":"2026032900324324600_ref136","doi-asserted-by":"crossref","first-page":"4711","DOI":"10.3390\/app10144711","article-title":"Social media rumor refuter feature analysis and crowd identification based on xgboost and nlp,","volume":"10","author":"Li","year":"2020","journal-title":"Applied Sciences"},{"issue":"3","key":"2026032900324324600_ref137","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1109\/TCSS.2016.2517458","article-title":"Rumor identification in microblogging systems based on users\u2019 behavior,","volume":"2","author":"Liang","year":"2015","journal-title":"IEEE Transactions on Computational Social Systems"},{"key":"2026032900324324600_ref138","article-title":"Federated hierarchical hybrid networks for clickbait detection,","author":"Liao","year":"2019"},{"issue":"23","key":"2026032900324324600_ref139","doi-asserted-by":"crossref","DOI":"10.1002\/cpe.4508","article-title":"Chinese microblog rumor detection based on deep sequence context,","volume":"31","author":"Lin","year":"2019","journal-title":"Concurrency and Computation: Practice and Experience"},{"key":"2026032900324324600_ref140","doi-asserted-by":"crossref","first-page":"3021","DOI":"10.1109\/BigData47090.2019.9005980","article-title":"Detecting fake news articles,","author":"Lin","year":"2019","journal-title":"2019 IEEE International Conference on Big Data (Big Data)"},{"key":"2026032900324324600_ref141","first-page":"49","article-title":"Rumors on social media in disasters: Extending transmission to retransmission.,","author":"Liu","year":"2014","journal-title":"PACIS"},{"issue":"3","key":"2026032900324324600_ref142","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1007\/s00607-019-00763-y","article-title":"Incorporating feature representation into bilstm for deceptive review detection,","volume":"102","author":"Liu","year":"2020","journal-title":"Computing"},{"key":"2026032900324324600_ref143","first-page":"1867","article-title":"Realtime rumor debunking on twitter,","author":"Liu","year":"2015","journal-title":"Proceedings of the 24th ACM International on Conference on Information and Knowledge Management"},{"key":"2026032900324324600_ref144","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.11268","article-title":"Early detection of fake news on social media through propagation path classification with recurrent and convolutional networks,","author":"Liu","year":"2018","journal-title":"Thirty-Second AAAI Conference on Artificial Intelligence"},{"issue":"2","key":"2026032900324324600_ref145","doi-asserted-by":"crossref","first-page":"87","DOI":"10.5539\/cis.v12n2p87","article-title":"Opinion spam detection based on annotation extension and neural networks.,","volume":"12","author":"Liu","year":"2019","journal-title":"Computer and Information Science"},{"key":"2026032900324324600_ref146","first-page":"1","article-title":"Detection of satiric news on social media: Analysis of the phenomenon with a french dataset,","author":"Liu","year":"2019","journal-title":"2019 28th International Conference on Computer Communication and Networks (ICCCN)"},{"key":"2026032900324324600_ref147","doi-asserted-by":"crossref","first-page":"1110","DOI":"10.18653\/v1\/S19-2194","article-title":"Columbia at semeval-2019 task 7: Multi-task learning for stance classification and rumour verification,","author":"Liu","year":"2019","journal-title":"Proceedings of the 13th International Workshop on Semantic Evaluation"},{"issue":"1","key":"2026032900324324600_ref148","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1037\/0033-2909.116.1.75","article-title":"The psychology of curiosity: A review and reinterpretation.,","volume":"116","author":"Loewenstein","year":"1994","journal-title":"Psychological bulletin"},{"key":"2026032900324324600_ref149","article-title":"Detecting rumors from microblogs with recurrent neural networks,","author":"Ma","year":"2016"},{"key":"2026032900324324600_ref150","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/P17-1066","article-title":"Detect rumors in microblog posts using propagation structure via kernel learning,","author":"Ma","year":"2017"},{"key":"2026032900324324600_ref151","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/P18-1184","article-title":"Rumor detection on twitter with tree-structured recursive neural networks,","author":"Ma","year":"2018"},{"key":"2026032900324324600_ref152","article-title":"Spam detection on social network through sentiment analysis,","author":"Mahajan","year":"2017"},{"key":"2026032900324324600_ref153","first-page":"1","article-title":"Detecting fake news using machine learning and deep learning algorithms,","author":"Mahir","year":"2019","journal-title":"2019 7th International Conference on Smart Computing & Communications (ICSCC)"},{"key":"2026032900324324600_ref154","first-page":"41","article-title":"Social spam detection,","author":"Markines","year":"2009","journal-title":"Proceedings of the 5th International Workshop on Adversarial Information Retrieval on the Web"},{"key":"2026032900324324600_ref155","article-title":"Improving pos tagging using machine-learning techniques,","author":"Marquez","year":"1999","journal-title":"1999 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora"},{"key":"2026032900324324600_ref156","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/N19-1069","article-title":"Adversarial training for satire detection: Controlling for confounding variables,","author":"McHardy","year":"2019"},{"key":"2026032900324324600_ref157","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality,","author":"Mikolov","year":"2013","journal-title":"Advances in neural information processing systems"},{"key":"2026032900324324600_ref158","article-title":"Fake news headline classification using neural networks with attention,","author":"Miller","year":"2017"},{"key":"2026032900324324600_ref159","doi-asserted-by":"crossref","first-page":"258","DOI":"10.1609\/icwsm.v9i1.14625","article-title":"Credbank: A large-scale social media corpus with associated credibility annotations,","volume":"9","author":"Mitra","year":"2015","journal-title":"Proceedings of the international AAAI conference on web and social media"},{"key":"2026032900324324600_ref160","first-page":"214","article-title":"Cross-domain sentiment analysis using spanish opinionated words,","author":"Molina-Gonz\u00e1lez","year":"2014","journal-title":"International Conference on Applications of Natural Language to Data Bases\/Information Systems"},{"issue":"5","key":"2026032900324324600_ref161","doi-asserted-by":"crossref","first-page":"961","DOI":"10.1007\/s10796-018-9837-8","article-title":"Analysis and early detection of rumors in a post disaster scenario,","volume":"20","author":"Mondal","year":"2018","journal-title":"Information Systems Frontiers"},{"key":"2026032900324324600_ref162","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1007\/978-3-319-99722-3_33","article-title":"Contributions to the study of fake news in portuguese: New corpus and automatic detection results,","author":"Monteiro","year":"2018","journal-title":"International Conference on Computational Processing of the Portuguese Language"},{"key":"2026032900324324600_ref163","article-title":"Stance detection for fake news identification,","author":"Mrowca","year":"2017","journal-title":"Stanford University, California, US, rep"},{"key":"2026032900324324600_ref164","article-title":"Fake review detection: Classification and analysis of real and pseudo reviews,","author":"Mukherjee","year":"2013","journal-title":"Technical Report UIC-CS-2013\u201303, University of Illinois at Chicago, Tech. Rep"},{"key":"2026032900324324600_ref165","article-title":"What yelp fake review filter might be doing?","author":"Mukherjee","year":"2013","journal-title":"Seventh international AAAI conference on weblogs and social media"},{"key":"2026032900324324600_ref166","article-title":"An improved method for detection of satire from user-generated content,","author":"Nafis","year":"2015"},{"issue":"2-3","key":"2026032900324324600_ref167","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1023\/A:1007692713085","article-title":"Text classification from labeled and unlabeled documents using em,","volume":"39","author":"Nigam","year":"2000","journal-title":"Machine learning"},{"key":"2026032900324324600_ref168","doi-asserted-by":"crossref","first-page":"407","DOI":"10.25300\/MISQ\/2013\/37.2.05","article-title":"Community intelligence and social media services: A rumor theoretic analysis of tweets during social crises,","author":"Oh","year":"2013","journal-title":"Mis Quarterly"},{"key":"2026032900324324600_ref169","author":"Olah","year":"2015","journal-title":"Understanding lstm networks"},{"key":"2026032900324324600_ref170","first-page":"1035","article-title":"Sentiment analysis and prediction using neural networks,","author":"Paliwal","year":"2018","journal-title":"2018 International Conference on Inventive Research in Computing Applications (ICIRCA)"},{"issue":"2","key":"2026032900324324600_ref171","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1007\/s12065-019-00204-x","article-title":"Spam review detection using spiral cuckoo search clustering method,","volume":"12","author":"Pandey","year":"2019","journal-title":"Evolutionary Intelligence"},{"key":"2026032900324324600_ref172","doi-asserted-by":"crossref","first-page":"1481","DOI":"10.1109\/ICACCI.2018.8554873","article-title":"Curious to click it?-identifying clickbait using deep learning and evolutionary algorithm,","author":"Pandey","year":"2018","journal-title":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)"},{"key":"2026032900324324600_ref173","article-title":"A two-level classification approach for detecting clickbait posts using text-based features,","author":"Papadopoulou","year":"2017"},{"key":"2026032900324324600_ref174","article-title":"Unsupervised content-based identification of fake news articles with tensor decomposition ensembles,","author":"Papalexakis","year":"2018"},{"key":"2026032900324324600_ref175","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1109\/MIPR.2018.00093","article-title":"Media-rich fake news detection: A survey,","author":"Parikh","year":"2018","journal-title":"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)"},{"issue":"1","key":"2026032900324324600_ref176","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1109\/TVCG.2017.2744478","article-title":"Conceptvector: Text visual analytics via interactive lexicon building using word embedding,","volume":"24","author":"Park","year":"2017","journal-title":"IEEE transactions on visualization and computer graphics"},{"key":"2026032900324324600_ref177","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1145\/3350546.3352534","article-title":"Check-it: A plugin for detecting and reducing the spread of fake news and misinformation on the web,","author":"Paschalides","year":"2019","journal-title":"IEEE\/WIC\/ACM International Conference on Web Intelligence"},{"key":"2026032900324324600_ref178","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/978-3-030-73696-5_3","article-title":"Fighting an infodemic: Covid-19 fake news dataset,","author":"Patwa","year":"2021","journal-title":"Combating Online Hostile Posts in Regional Languages during Emergency Situation: First International Workshop, CONSTRAINT 2021, Collocated with AAAI 2021, Virtual Event, February 8, 2021, Revised Selected Papers 1"},{"key":"2026032900324324600_ref179","article-title":"Fake news detection: Sequence models annual bio-inspired conference 2018,","author":"Peng","year":"2018"},{"issue":"8","key":"2026032900324324600_ref180","doi-asserted-by":"crossref","first-page":"2065","DOI":"10.4304\/jsw.9.8.2065-2072","article-title":"Detecting spam review through sentiment analysis.,","volume":"9","author":"Peng","year":"2014","journal-title":"JSW"},{"key":"2026032900324324600_ref181","doi-asserted-by":"crossref","first-page":"1532","DOI":"10.3115\/v1\/D14-1162","article-title":"Glove: Global vectors for word representation,","author":"Pennington","year":"2014","journal-title":"Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP)"},{"key":"2026032900324324600_ref182","article-title":"Automatic detection of fake news,","author":"P\u00e9rez-Rosas","year":"2017"},{"key":"2026032900324324600_ref183","article-title":"Stance detection for the fake news challenge with attention and conditional encoding,","author":"Pfohl","year":"2017","journal-title":"CS224n: Natural Language Processing with Deep Learning"},{"key":"2026032900324324600_ref184","first-page":"65","article-title":"Predicting stances in twitter conversations for detecting veracity of rumors: A neural approach,","author":"Poddar","year":"2018","journal-title":"2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI)"},{"key":"2026032900324324600_ref185","author":"Pomerleau","year":"2017","journal-title":"Fake news challenge"},{"key":"2026032900324324600_ref186","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/D18-1003","article-title":"Declare: Debunking fake news and false claims using evidence-aware deep learning,","author":"Popat","year":"2018"},{"key":"2026032900324324600_ref187","doi-asserted-by":"publisher","DOI":"10.1177\/0165551519871822","article-title":"Clickbait detection using multiple categorisation techniques,","author":"Pujahari","year":"2019","journal-title":"Journal of Information Science"},{"key":"2026032900324324600_ref188","first-page":"1589","article-title":"Rumor has it: Identifying misinformation in microblogs,","author":"Qazvinian","year":"2011","journal-title":"Proceedings of the conference on empirical methods in natural language processing"},{"key":"2026032900324324600_ref189","first-page":"3834","article-title":"Neural user response generator: Fake news detection with collective user intelligence.,","author":"Qian","year":"2018","journal-title":"IJCAI"},{"key":"2026032900324324600_ref190","article-title":"Resilience of authorship detection methods and hoax detection techniques to machine generated text,","author":"Rao"},{"key":"2026032900324324600_ref191","first-page":"1","article-title":"Logistic regression versus xgboost: Machine learning for counterfeit news detection,","author":"Rao","year":"2021","journal-title":"2021 second international conference on smart technologies in computing, electrical and electronics (ICSTCEE)"},{"key":"2026032900324324600_ref192","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1145\/1963192.1963301","article-title":"Truthy: Mapping the spread of astroturf in microblog streams,","author":"Ratkiewicz","year":"2011","journal-title":"Proceedings of the 20th international conference companion on World wide web"},{"key":"2026032900324324600_ref193","article-title":"Detecting and tracking political abuse in social media,","author":"Ratkiewicz","year":"2011","journal-title":"Fifth international AAAI conference on weblogs and social media"},{"key":"2026032900324324600_ref194","first-page":"271","article-title":"Machine learning techniques for detecting and analyzing online fake reviews,","author":"Reddy","journal-title":"Artificial Intelligence and Knowledge Processing"},{"key":"2026032900324324600_ref195","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1145\/3022198.3026344","article-title":"Open secrets and wrong rights: Automatic satire detection in english text,","author":"Reganti","year":"2017","journal-title":"Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing"},{"key":"2026032900324324600_ref196","first-page":"970","article-title":"Modeling satire in english text for automatic detection,","author":"Reganti","year":"2016","journal-title":"2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW)"},{"key":"2026032900324324600_ref197","article-title":"Rumor-lens: A system for analyzing the impact of rumors and corrections in social media,","author":"Resnick","year":"2014"},{"key":"2026032900324324600_ref198","author":"Riedel","year":"2017","journal-title":"A simple but tough-to-beat baseline for the fake news challenge stance detection task"},{"key":"2026032900324324600_ref199","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.11378","article-title":"Baitbuster: A clickbait identification 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detection,","author":"Samonte","year":"2018","journal-title":"Proceedings of the 2018 International Conference on Internet and e-Business"},{"key":"2026032900324324600_ref207","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1609\/icwsm.v12i1.14985","article-title":"Buzzface: A news veracity dataset with facebook user commentary and egos,","volume":"12","author":"Santia","year":"2018","journal-title":"Proceedings of the international AAAI conference on web and social media"},{"key":"2026032900324324600_ref208","article-title":"Opinion spam detection with attention-based neural networks,","author":"Sedighi","year":"2019","journal-title":"The Thirty-Second International Flairs Conference"},{"key":"2026032900324324600_ref209","first-page":"1","article-title":"Fagon: Fake news detection model using grammatic transformation on neural network,","author":"Seo","year":"2018","journal-title":"2018 Thirteenth International Conference on Knowledge, Information and Creativity Support Systems (KICSS)"},{"key":"2026032900324324600_ref210","first-page":"243","article-title":"Exploring summarization to enhance headline stance detection,","author":"Sep\u00falveda-Torres","year":"2021","journal-title":"International Conference on Applications of Natural Language to Information Systems"},{"key":"2026032900324324600_ref211","article-title":"Anomaly detection in social media using recurrent neural network,","author":"Shah","year":"2019","journal-title":"ICCS"},{"key":"2026032900324324600_ref212","doi-asserted-by":"crossref","first-page":"745","DOI":"10.1145\/2872518.2890098","article-title":"Hoaxy: A platform for tracking online misinformation,","author":"Shao","year":"2016","journal-title":"Proceedings of the 25th international conference companion on world wide web"},{"key":"2026032900324324600_ref213","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.asoc.2021.107559","article-title":"An effective fake news detection method using woaxgbtree algorithm and content-based features,","volume":"109","author":"Sheikhi","year":"2021","journal-title":"Applied Soft Computing"},{"issue":"5","key":"2026032900324324600_ref214","first-page":"52","article-title":"Fraud detection in online reviews using machine learning techniques,","volume":"5","author":"Shivagangadhar","year":"2015","journal-title":"International Journal of Computational Engineering Research (IJCER)"},{"key":"2026032900324324600_ref215","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1109\/ICICCT.2017.7975207","article-title":"Sentiment analysis of product reviews: A review,","author":"Shivaprasad","year":"2017","journal-title":"2017 International Conference on Inventive Communication and Computational Technologies (ICICCT)"},{"issue":"1","key":"2026032900324324600_ref216","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1007\/s10588-018-09280-3","article-title":"Fakenewstracker: A tool for fake news collection, detection, and visualization,","volume":"25","author":"Shu","year":"2019","journal-title":"Computational and Mathematical Organization Theory"},{"key":"2026032900324324600_ref217","article-title":"Fakenewsnet: A data repository with news content, social context and dynamic information for studying fake news on social media,","author":"Shu","year":"2018"},{"issue":"1","key":"2026032900324324600_ref218","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1145\/3137597.3137600","article-title":"Fake news detection on social media: A data mining perspective,","volume":"19","author":"Shu","year":"2017","journal-title":"ACM SIGKDD Explorations Newsletter"},{"issue":"1","key":"2026032900324324600_ref219","article-title":"Hyperpartisan facebook pages are publishing false and misleading information at an alarming rate,","volume":"20","author":"Silverman","year":"2016","journal-title":"Buzzfeed News"},{"key":"2026032900324324600_ref220","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1145\/3368567.3368582","article-title":"Unsupervised approach for monitoring satire on social media,","author":"Sinha","year":"2019","journal-title":"Proceedings of the 11th Forum for Information Retrieval Evaluation"},{"issue":"1","key":"2026032900324324600_ref221","first-page":"181","article-title":"Isolating rumors using sentiment analysis,","volume":"7","author":"Sivasangari","year":"2018","journal-title":"Journal of Cyber Security and Mobility"},{"key":"2026032900324324600_ref222","doi-asserted-by":"crossref","first-page":"1631","DOI":"10.18653\/v1\/D13-1170","article-title":"Recursive deep models for semantic compositionality over a sentiment treebank,","author":"Socher","year":"2013","journal-title":"Proceedings of the 2013 conference on empirical methods in natural language processing"},{"key":"2026032900324324600_ref223","article-title":"Detecting satire in the news with machine learning,","author":"St\u00f6ckl","year":"2018"},{"key":"2026032900324324600_ref224","doi-asserted-by":"crossref","DOI":"10.1155\/2016\/4935792","article-title":"Exploiting product related review features for fake review detection,","volume":"2016","author":"Sun","year":"2016","journal-title":"Mathematical Problems in Engineering"},{"key":"2026032900324324600_ref225","article-title":"Some like it hoax: Automated fake news detection in social networks,","author":"Tacchini","year":"2017"},{"key":"2026032900324324600_ref226","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1109\/HICSS.2013.557","article-title":"Toward a social-technological system that inactivates false rumors through the critical thinking of crowds,","author":"Tanaka","year":"2013","journal-title":"2013 46th Hawaii International conference on system sciences"},{"issue":"12","key":"2026032900324324600_ref227","article-title":"Detection of fake user reviews with deep learning,","volume":"8","author":"Ta\u015fa\u011fal","year":"2018","journal-title":"International Journal of Research in Engineering and Applied Sciences (IJREAS)"},{"key":"2026032900324324600_ref228","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/N18-1074","article-title":"Fever: A large-scale dataset for fact extraction and verification,","author":"Thorne","year":"2018"},{"issue":"3","key":"2026032900324324600_ref229","first-page":"10","article-title":"Fake news detection: A deep learning approach,","volume":"1","author":"Thota","year":"2018","journal-title":"SMU Data Science Review"},{"key":"2026032900324324600_ref230","first-page":"1","article-title":"Effective analysis of emotion-based satire detection model on various machine learning algorithms,","author":"Thu","year":"2017","journal-title":"2017 IEEE 6th Global Conference on Consumer Electronics (GCCE)"},{"key":"2026032900324324600_ref231","first-page":"149","article-title":"Implementation of emotional features on satire detection,","author":"Thu","year":"2017","journal-title":"2017 18th IEEE\/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel\/Distributed Computing (SNPD)"},{"issue":"5","key":"2026032900324324600_ref232","doi-asserted-by":"crossref","first-page":"056 102","DOI":"10.1103\/PhysRevE.81.056102","article-title":"Model for rumor spreading over networks,","volume":"81","author":"Trpevski","year":"2010","journal-title":"Physical Review E"},{"key":"2026032900324324600_ref233","author":"U\u00e7ar","year":"2018","journal-title":"Using LSTM neural networks for fake online user review detection"},{"key":"2026032900324324600_ref234","first-page":"113","article-title":"Rumor detection in social networks via deep contextual modeling,","author":"Veyseh","year":"2019","journal-title":"Proceedings of the 2019 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining"},{"key":"2026032900324324600_ref235","article-title":"A neural conversational model,","author":"Vinyals","year":"2015"},{"key":"2026032900324324600_ref236","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1145\/3234781.3234794","article-title":"Detecting spamming reviews using long short-term memory recurrent neural network framework,","author":"Wang","year":"2018","journal-title":"Proceedings of the 2nd International Conference on E-commerce, E-Business and E-Government"},{"issue":"8","key":"2026032900324324600_ref237","doi-asserted-by":"crossref","first-page":"1452","DOI":"10.3390\/ijerph16081452","article-title":"Machine learning methods to predict social media disaster rumor refuters,","volume":"16","author":"Wang","year":"2019","journal-title":"International journal of environmental research and public health"},{"key":"2026032900324324600_ref238","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/P17-2067","article-title":"\"liar, liar pants on fire\": A new benchmark dataset for fake news detection,","author":"Wang","year":"2017"},{"key":"2026032900324324600_ref239","doi-asserted-by":"crossref","first-page":"366","DOI":"10.18653\/v1\/P17-1034","article-title":"Handling cold-start problem in review spam detection by jointly embedding texts and behaviors,","author":"Wang","year":"2017","journal-title":"Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)"},{"key":"2026032900324324600_ref240","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1145\/3219819.3219903","article-title":"Eann: Event adversarial neural networks for multi-modal fake news detection,","author":"Wang","year":"2018","journal-title":"Proceedings of the 24th acm sigkdd international conference on knowledge discovery & data mining"},{"key":"2026032900324324600_ref241","article-title":"Fake review detection on yelp,","author":"Wang","year":"2017"},{"key":"2026032900324324600_ref242","doi-asserted-by":"crossref","DOI":"10.24963\/ijcai.2017\/583","article-title":"Learning to identify ambiguous and misleading news headlines,","author":"Wei","year":"2017"},{"issue":"3","key":"2026032900324324600_ref243","article-title":"Modeling credibility assessment and explanation for tweets based on sentiment analysis,","volume":"70","author":"Widyantoro","year":"2014","journal-title":"Journal of Theoretical and Applied Information Technology"},{"key":"2026032900324324600_ref244","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1137\/1.9781611974973.12","article-title":"Gleaning wisdom from the past: Early detection of emerging rumors in social media,","author":"Wu","year":"2017","journal-title":"Proceedings of the 2017 SIAM International Conference on Data"},{"key":"2026032900324324600_ref245","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1145\/3159652.3159677","article-title":"Tracing fake-news footprints: Characterizing social media messages by how they propagate,","author":"Wu","year":"2018","journal-title":"Proceedings of the eleventh ACM international conference on Web Search and Data Mining"},{"key":"2026032900324324600_ref246","first-page":"1","article-title":"Mnrd: A merged neural model for rumor detection in social media,","author":"Xu","year":"2018","journal-title":"2018 International Joint Conference on Neural Networks (IJCNN)"},{"issue":"11","key":"2026032900324324600_ref247","doi-asserted-by":"crossref","first-page":"1408","DOI":"10.3390\/sym11111408","article-title":"Deep recurrent neural network and data filtering for rumor detection on sina weibo,","volume":"11","author":"Xu","year":"2019","journal-title":"Symmetry"},{"key":"2026032900324324600_ref248","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/D17-1211","article-title":"Satirical news detection and analysis using attention mechanism and linguistic features,","author":"Yang","year":"2017"},{"key":"2026032900324324600_ref249","article-title":"Fake news detection as natural language inference,","author":"Yang","year":"2019"},{"key":"2026032900324324600_ref250","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1109\/WISA.2015.19","article-title":"Emerging rumor identification for social media with hot topic detection,","author":"Yang","year":"2015","journal-title":"2015 12th Web Information System and Application Conference (WISA)"},{"key":"2026032900324324600_ref251","first-page":"37","article-title":"Comparison of deceptive and truthful travel reviews,","author":"Yoo","year":"2009","journal-title":"ENTER"},{"key":"2026032900324324600_ref252","doi-asserted-by":"crossref","DOI":"10.24963\/ijcai.2017\/545","article-title":"A convolutional approach for misinformation identification,","author":"Yu","year":"2017"},{"key":"2026032900324324600_ref253","doi-asserted-by":"crossref","DOI":"10.1109\/ICDM.2019.00090","article-title":"Jointly embedding the local and global relations of heterogeneous graph for rumor detection,","author":"Yuan","year":"2019"},{"key":"2026032900324324600_ref254","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1109\/SPW.2018.00018","article-title":"The good, the bad and the bait: Detecting and characterizing clickbait on youtube,","author":"Zannettou","year":"2018","journal-title":"2018 IEEE Security and Privacy Workshops (SPW)"},{"key":"2026032900324324600_ref255","article-title":"# unconfirmed: Classifying rumor stance in crisis-related social media messages,","author":"Zeng","year":"2016","journal-title":"Tenth International AAAI Conference on Web and Social Media"},{"issue":"7","key":"2026032900324324600_ref256","doi-asserted-by":"crossref","first-page":"243","DOI":"10.3390\/info10070243","article-title":"A review structure based ensemble model for deceptive review spam,","volume":"10","author":"Zeng","year":"2019","journal-title":"Information"},{"issue":"3","key":"2026032900324324600_ref257","doi-asserted-by":"crossref","first-page":"1036","DOI":"10.1016\/j.ejor.2019.06.022","article-title":"Detecting fake news for reducing misinformation risks using analytics approaches,","volume":"279","author":"Zhang","year":"2019","journal-title":"European Journal of Operational Research"},{"key":"2026032900324324600_ref258","doi-asserted-by":"crossref","first-page":"2333","DOI":"10.1145\/3308558.3313718","article-title":"Reply-aided detection of misinformation via bayesian deep learning,","author":"Zhang","year":"2019","journal-title":"The World Wide Web Conference"},{"key":"2026032900324324600_ref259","first-page":"649","article-title":"Character-level convolutional networks for text classification,","author":"Zhang","year":"2015","journal-title":"Advances in neural information processing systems"},{"issue":"3","key":"2026032900324324600_ref260","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1111\/hir.12115","article-title":"Predictors of the authenticity of internet health rumours,","volume":"32","author":"Zhang","year":"2015","journal-title":"Health Information & Libraries Journal"},{"key":"2026032900324324600_ref261","doi-asserted-by":"publisher","first-page":"1395","DOI":"10.1145\/2736277.2741637","article-title":"Enquiring minds: Early detection of rumors in social media from enquiry posts,","author":"Zhao","year":"2015","journal-title":"Proceedings of the 24th International Conference on World Wide Web"},{"issue":"5","key":"2026032900324324600_ref262","doi-asserted-by":"crossref","DOI":"10.3390\/sym10050138","article-title":"Clickbait convolutional neural network,","volume":"10","author":"Zheng","year":"2018","journal-title":"Symmetry"},{"key":"2026032900324324600_ref263","article-title":"Fake news early detection: A theory-driven 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