{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T13:54:12Z","timestamp":1776952452159,"version":"3.51.4"},"reference-count":78,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2023,8,29]],"date-time":"2023-08-29T00:00:00Z","timestamp":1693267200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Artif. Intell."],"abstract":"<jats:p>News headlines can be a good data source for detecting the barriers to the spreading of news in news media, which can be useful in many real-world applications. In this study, we utilize semantic knowledge through the inference-based model COMET and the sentiments of news headlines for barrier classification. We consider five barriers, including cultural, economic, political, linguistic, and geographical and different types of news headlines, including health, sports, science, recreation, games, homes, society, shopping, computers, and business. To that end, we collect and label the news headlines automatically for the barriers using the metadata of news publishers. Then, we utilize the extracted common-sense inferences and sentiments as features to detect the barriers to the spreading of news. We compare our approach to the classical text classification methods, deep learning, and transformer-based methods. The results show that (1) the inference-based semantic knowledge provides distinguishable inferences across the 10 categories that can increase the effectiveness and enhance the speed of the classification model; (2) the news of positive sentiments cross the political barrier, whereas the news of negative sentiments cross the cultural, economic, linguistic, and geographical barriers; (3) the proposed approach using inferences-based semantic knowledge and sentiment improves performance compared with using only headlines in barrier classification. The average F1-score for 4 out of 5 barriers has significantly improved as follows: for cultural barriers from 0.41 to 0.47, for economic barriers from 0.39 to 0.55, for political barriers from 0.59 to 0.70 and for geographical barriers from 0.59 to 0.76.<\/jats:p>","DOI":"10.3389\/frai.2023.1225213","type":"journal-article","created":{"date-parts":[[2023,8,30]],"date-time":"2023-08-30T07:22:51Z","timestamp":1693380171000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Profiling the barriers to the spreading of news using news headlines"],"prefix":"10.3389","volume":"6","author":[{"given":"Abdul","family":"Sittar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dunja","family":"Mladeni\u0107","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marko","family":"Grobelnik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2023,8,29]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"2507","DOI":"10.1109\/ICASSP.2019.8683170","author":"Ajao","year":"2019"},{"key":"B2","doi-asserted-by":"publisher","first-page":"1348","DOI":"10.3390\/electronics10111348","article-title":"Sentiment analysis for fake news detection","volume":"10","author":"Alonso","year":"2021","journal-title":"Electronics"},{"key":"B3","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/j.ipm.2016.08.004","article-title":"The impact of personality traits on users' information-seeking behavior","volume":"53","author":"Al-Samarraie","year":"2017","journal-title":"Inf. Proc. Manage"},{"key":"B4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1057\/s41599-020-0523-3","article-title":"Sentiments and emotions evoked by news headlines of coronavirus disease (covid-19) outbreak","volume":"7","author":"Aslam","year":"2020","journal-title":"Human. Soc. Sci. Commun"},{"key":"B5","doi-asserted-by":"publisher","first-page":"708","DOI":"10.1080\/07350015.2022.2060988","article-title":"Forecasting with economic news","volume":"41","author":"Barbaglia","year":"2022","journal-title":"J. Bus. Econ. Stat"},{"key":"B6","article-title":"Abductive commonsense reasoning","author":"Bhagavatula","year":"2019","journal-title":"arXiv preprint arXiv"},{"key":"B7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/IC3.2019.8844880","article-title":"\u201cFake news detection using sentiment analysis,\u201d","author":"Bhutani","year":"2019","journal-title":"2019 Twelfth International Conference on Contemporary Computing (IC3)"},{"key":"B8","author":"Bosselut","year":"2019"},{"key":"B9","doi-asserted-by":"publisher","first-page":"183","DOI":"10.3233\/AF-2011-013","article-title":"Pricing stocks with yardsticks and sentiments","volume":"1","author":"Bustos","year":"2011","journal-title":"Algor. Finance"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8928","article-title":"\u201cSenticnet 3: a common and common-sense knowledge base for cognition-driven sentiment analysis,\u201d","author":"Cambria","year":"2014","journal-title":"Twenty-Eighth AAAI Conference on Artificial Intelligence"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2011.106","article-title":"\u201cIsanette: A common and common sense knowledge base for opinion mining,\u201d","author":"Cambria","year":"2011","journal-title":"2011 IEEE 11th International Conference on Data Mining Workshops (IEEE)"},{"key":"B12","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/978-0-387-34747-9_18","article-title":"\u201cComparison of svm and some older classification algorithms in text classification tasks,\u201d","author":"Colas","year":"2006","journal-title":"IFIP International Conference on Artificial Intelligence in Theory and Practice"},{"key":"B13","author":"Colon-Hernandez","year":"2021"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108781","article-title":"Fine-grained, aspect-based sentiment analysis on economic and financial lexicon","author":"Consoli","year":"2022","journal-title":"Knowl. Based Syst"},{"key":"B15","doi-asserted-by":"publisher","DOI":"10.1145\/3341161.3342894","article-title":"\u201cSame: sentiment-aware multi-modal embedding for detecting fake news,\u201d","author":"Cui","year":"2019","journal-title":"Proceedings of the 2019 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining"},{"key":"B16","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1609\/aimag.v38i4.2734","article-title":"The first winograd schema challenge at ijcai-16","volume":"38","author":"Davis","year":"2017","journal-title":"AI Magaz"},{"key":"B17","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1177\/0165551516653082","article-title":"Classification of news-related tweets","volume":"43","author":"Demirsoz","year":"2017","journal-title":"J. Inf. Sci"},{"key":"B18","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1177\/1748048508097930","article-title":"Belgium: Two communities with diverging views on how to manage media diversity","volume":"71","author":"d'Haenens","year":"2009","journal-title":"Int. Commun. Gazette"},{"key":"B19","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1007\/978-981-16-3153-5_53","author":"Dogra","year":"2021"},{"key":"B20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.29","article-title":"Latent hatred: A benchmark for understanding implicit hate speech","author":"ElSherief","year":"2021","journal-title":"arXiv preprint arXiv"},{"key":"B21","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450117","article-title":"\u201cDiscos: Bridging the gap between discourse knowledge and commonsense knowledge,\u201d","author":"Fang","year":"2021","journal-title":"Proceedings of the Web Conference 2021"},{"key":"B22","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1080\/08997760802069994","article-title":"A content analysis guide for media economics scholars","volume":"21","author":"Fico","year":"2008","journal-title":"J. Media Econ"},{"key":"B23","doi-asserted-by":"publisher","DOI":"10.1145\/2896377.2901462","article-title":"\u201cSocial clicks: What and who gets read on twitter?\u201d","author":"Gabielkov","year":"2016","journal-title":"Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science"},{"key":"B24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1171","article-title":"\u201cPhysical causality of action verbs in grounded language understanding,\u201d","author":"Gao","year":"2016","journal-title":"Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics"},{"key":"B25","doi-asserted-by":"publisher","author":"Ghosal","year":"2020","DOI":"10.18653\/v1\/2020.findings-emnlp.224"},{"key":"B26","first-page":"219","article-title":"Large-scale sentiment analysis for news and blogs","volume":"7","author":"Godbole","year":"2007","journal-title":"ICWSM"},{"key":"B27","author":"Gonz\u00e1lez-Carvajal","year":"2020"},{"key":"B28","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/j.eswa.2019.03.036","article-title":"Behind the cues: A benchmarking study for fake news detection","volume":"128","author":"Gravanis","year":"2019","journal-title":"Expert Syst. Applic"},{"key":"B29","doi-asserted-by":"publisher","DOI":"10.1145\/3106426.3109436","article-title":"\u201cThe adressa dataset for news recommendation,\u201d","author":"Gulla","year":"2017","journal-title":"Proceedings of the International Conference on Web Intelligence"},{"key":"B30","doi-asserted-by":"publisher","first-page":"3634","DOI":"10.1016\/j.eswa.2014.12.029","article-title":"Detection of review spam: A survey","volume":"42","author":"Heydari","year":"2015","journal-title":"Exp. Syst. Applic"},{"key":"B31","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.procs.2017.12.132","article-title":"Effects of word class and text position in sentiment-based news classification","volume":"124","author":"Hui","year":"2017","journal-title":"Procedia Comput. Sci"},{"key":"B32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i7.16792","article-title":"\u201c(comet-) atomic 2020: On symbolic and neural commonsense knowledge graphs,\u201d","author":"Hwang","year":"2021","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"B33","author":"Ismayilzada","year":"2022"},{"key":"B34","doi-asserted-by":"publisher","DOI":"10.1109\/ICICTA51737.2020.00133","article-title":"\u201cRelying on multi-modal contextual cross-cultural communication ability training big data analysis,\u201d","author":"Jiang","year":"2020","journal-title":"2020 13th International Conference on Intelligent Computation Technology and Automation (ICICTA)"},{"key":"B35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6311","article-title":"\u201cIs bert really robust? A strong baseline for natural language attack on text classification and entailment,\u201d","author":"Jin","year":"2020","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"B36","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1007\/978-3-031-30675-4_31","article-title":"\u201cFintech key-phrase: A new chinese financial high-tech dataset accelerating expression-level information retrieval,\u201d","author":"Jin","year":"","journal-title":"International Conference on Database Systems for Advanced Applications"},{"key":"B37","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1007\/s10618-022-00891-8","article-title":"Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning","volume":"37","author":"Jin","year":"","journal-title":"Data Mining Knowl. Disc"},{"key":"B38","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.103260","article-title":"Back to common sense: Oxford dictionary descriptive knowledge augmentation for aspect-based sentiment analysis","author":"Jin","year":"","journal-title":"Inf. Proc. Manage"},{"key":"B39","doi-asserted-by":"publisher","author":"Kamath","year":"2018","DOI":"10.1145\/3209280.3209526"},{"key":"B40","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1007\/s40617-018-0238-8","article-title":"Spreading the news: History, successes, challenges and the ethics of effective dissemination","volume":"12","author":"Kelly","year":"2019","journal-title":"Behav. Analy. Pract"},{"key":"B41","doi-asserted-by":"publisher","first-page":"776","DOI":"10.1126\/science.aao1100","article-title":"How the news media activate public expression and influence national agendas","volume":"358","author":"King","year":"2017","journal-title":"Science"},{"key":"B42","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1109\/ICMLA.2017.0-134","author":"Kowsari","year":"2017"},{"key":"B43","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.116659","article-title":"Machine learning techniques and data for stock market forecasting: a literature review","author":"Kumbure","year":"2022","journal-title":"Expert Syst. Applic"},{"key":"B44","first-page":"201","article-title":"Newspaper framing of the apc change mantra in the 2015 nigerian presidential election: A study of the punch and guardian newspapers","volume":"8","author":"Lamidi","year":"2016","journal-title":"J. Commun. Media Res"},{"key":"B45","doi-asserted-by":"publisher","DOI":"10.1145\/2567948.2577024","article-title":"\u201cEvent registry: learning about world events from news,\u201d","author":"Leban","year":"2014","journal-title":"Proceedings of the 23rd International Conference on World Wide Web"},{"key":"B46","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115708","article-title":"Is the suggested food your desired?: Multi-modal recipe recommendation with demand-based knowledge graph","author":"Lei","year":"2021","journal-title":"Exp. Syst. Appl"},{"key":"B47","first-page":"1","article-title":"\u201cSentiment-aware stock market prediction: A deep learning method,\u201d","author":"Li","year":"2017","journal-title":"2017 International Conference on Service Systems and Service Management"},{"key":"B48","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1109\/ICAICA.2019.8873454","article-title":"\u201cResearch on text classification based on cnn and lstm,\u201d","author":"Luan","year":"2019","journal-title":"2019 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)"},{"key":"B49","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/BESC.2017.8256368","article-title":"\u201cDoes ideology affect the tone of international news coverage?\u201d","author":"Ma","year":"2017","journal-title":"2017 International Conference on Behavioral, Economic, Socio-Cultural Computing (BESC)"},{"key":"B50","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2021.104230","article-title":"Suspicious news detection through semantic and sentiment measures","author":"Mart\u00edn","year":"2021","journal-title":"Eng. Appl. Artif. Intell"},{"key":"B51","doi-asserted-by":"publisher","first-page":"765","DOI":"10.1109\/TVCG.2006.179","article-title":"Spatial analysis of news sources","volume":"12","author":"Mehler","year":"2006","journal-title":"IEEE Trans. Visual. Comput. Graph"},{"key":"B52","doi-asserted-by":"publisher","first-page":"9166","DOI":"10.1016\/j.eswa.2012.02.057","article-title":"Lexicon-based comments-oriented news sentiment analyzer system","volume":"39","author":"Moreo","year":"2012","journal-title":"Exp. Syst. Appl"},{"key":"B53","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1016\/j.eswa.2014.08.004","article-title":"Text mining of news-headlines for forex market prediction: A multi-layer dimension reduction algorithm with semantics and sentiment","volume":"42","author":"Nassirtoussi","year":"2015","journal-title":"Exp. Syst. Appl"},{"key":"B54","doi-asserted-by":"publisher","first-page":"11768","DOI":"10.3390\/ijerph182211768","article-title":"Diversity of covid-19 news media coverage across 17 countries: The influence of cultural values, government stringency and pandemic severity","volume":"18","author":"Ng","year":"2021","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"B55","first-page":"24","article-title":"Press coverage of hiv\/aids in nigeria and the socio-cultural barriers that inhibit media coverage","volume":"6","author":"Obijiofor","year":"2010","journal-title":"China Media Report Overseas"},{"key":"B56","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441664","article-title":"\u201cInformation to wisdom: Commonsense knowledge extraction and compilation,\u201d","author":"Razniewski","year":"2021","journal-title":"Proceedings of the 14th ACM International Conference on Web Search and Data Mining"},{"key":"B57","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1111\/j.1460-2466.2006.00334.x","article-title":"The framing project: A bridging model for media research revisited","volume":"57","author":"Reese","year":"2007","journal-title":"J. Commun"},{"key":"B58","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.websem.2015.12.004","article-title":"Building event-centric knowledge graphs from news","volume":"37","author":"Rospocher","year":"2016","journal-title":"J. Web Semant"},{"key":"B59","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1177\/1464884914521579","article-title":"Visible and invisible countries: News flow theory revised","volume":"16","author":"Segev","year":"2015","journal-title":"Journalism"},{"key":"B60","doi-asserted-by":"publisher","first-page":"4705","DOI":"10.1109\/BigData.2018.8621884","article-title":"\u201cPredicting the effects of news sentiments on the stock market,\u201d","author":"Shah","year":"2018","journal-title":"2018 IEEE International Conference on Big Data (Big Data)"},{"key":"B61","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s41133-020-00032-0","article-title":"A comparative analysis of logistic regression, random forest and knn models for the text classification","volume":"5","author":"Shah","year":"2020","journal-title":"Augmented Hum. Res"},{"key":"B62","doi-asserted-by":"publisher","first-page":"780","DOI":"10.1109\/TCSS.2021.3063108","article-title":"Detecting framing changes in topical news","volume":"8","author":"Sheshadri","year":"2021","journal-title":"IEEE Trans. Comput. Soc. Syst"},{"key":"B63","first-page":"2321","article-title":"\u201cConstruction of news headline from detailed news article,\u201d","author":"Shrawankar","year":"2016","journal-title":"2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom)"},{"key":"B64","doi-asserted-by":"publisher","first-page":"40036","DOI":"10.1109\/ACCESS.2022.3164692","article-title":"Political and economic patterns in covid-19 news: From lockdown to vaccination","volume":"10","author":"Sittar","year":"","journal-title":"IEEE Access"},{"key":"B65","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1007\/s10844-021-00654-9","article-title":"Analysis of information cascading and propagation barriers across distinctive news events","volume":"58","author":"Sittar","year":"","journal-title":"J. Intell. Inf. Syst"},{"key":"B66","author":"Storks","year":"2019"},{"key":"B67","doi-asserted-by":"publisher","author":"Swati","year":"2022","DOI":"10.2139\/ssrn.4114271"},{"key":"B68","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/ICOMET.2019.8673428","article-title":"\u201cSentiment analysis of news articles: a lexicon based approach,\u201d","author":"Taj","year":"2019","journal-title":"2019 2nd international conference on computing, mathematics and engineering technologies (iCoMET)"},{"key":"B69","first-page":"161","article-title":"\u201cCrossing cultural barriers in international news transmission: A translational approach,\u201d","author":"Vuorinen","year":"1994","journal-title":"Translation and the (re) Location of Meaning, Selected papers of the CETRA Research Seminars in Translation Studies"},{"key":"B70","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1080\/19312458.2019.1639145","article-title":"News frame analysis: An inductive mixed-method computational approach","volume":"13","author":"Walter","year":"2019","journal-title":"Commun. Methods Measur"},{"key":"B71","doi-asserted-by":"publisher","first-page":"012018","DOI":"10.1088\/1757-899X\/261\/1\/012018","article-title":"\u201cComparisons and selections of features and classifiers for short text classification,\u201d","author":"Wang","year":"2017","journal-title":"IOP Conference Series: Materials Science and Engineering"},{"key":"B72","doi-asserted-by":"publisher","DOI":"10.1002\/9781119751847.ch9","article-title":"\u201cSocial media misinformation about extreme weather events and climate change: Structures, communication processes, and individual factors that influence the diffusion of misinformation,\u201d","author":"Wright","year":"2022","journal-title":"Communication and Catastrophic Events: Strategic Risk and Crisis Management"},{"key":"B73","doi-asserted-by":"publisher","first-page":"539","DOI":"10.1177\/1748048507082841","article-title":"A brave new world for international news? Exploring the determinants of the coverage of foreign news on us websites","volume":"69","author":"Wu","year":"2007","journal-title":"Int. Commun. Gazette"},{"key":"B74","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001417500069","article-title":"Sentiment classification of financial news using statistical features","author":"Yazdani","year":"2017","journal-title":"Int. J. Pattern Recogn. Artif. Intell"},{"key":"B75","doi-asserted-by":"publisher","first-page":"333","DOI":"10.3233\/JIFS-191171","article-title":"Attention-based lstm, gru and cnn for short text classification","volume":"39","author":"Yu","year":"2020","journal-title":"J. Intell. Fuzzy Syst"},{"key":"B76","doi-asserted-by":"publisher","first-page":"176600","DOI":"10.1109\/ACCESS.2019.2953990","article-title":"Improving bert-based text classification with auxiliary sentence and domain knowledge","volume":"7","author":"Yu","year":"2019","journal-title":"IEEE Access"},{"key":"B77","doi-asserted-by":"publisher","first-page":"9139","DOI":"10.1016\/j.eswa.2011.01.047","article-title":"Exploiting effective features for chinese sentiment classification","volume":"38","author":"Zhai","year":"2011","journal-title":"Exp. Syst. Applic"},{"key":"B78","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380001","article-title":"\u201cRecommending themes for ad creative design via visual-linguistic representations,\u201d","author":"Zhou","year":"2020","journal-title":"Proceedings of The Web Conference"}],"container-title":["Frontiers in Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/frai.2023.1225213\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,30]],"date-time":"2023-08-30T07:22:58Z","timestamp":1693380178000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/frai.2023.1225213\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,29]]},"references-count":78,"alternative-id":["10.3389\/frai.2023.1225213"],"URL":"https:\/\/doi.org\/10.3389\/frai.2023.1225213","relation":{},"ISSN":["2624-8212"],"issn-type":[{"value":"2624-8212","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8,29]]},"article-number":"1225213"}}