{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T03:45:34Z","timestamp":1771559134858,"version":"3.50.1"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030713041","type":"print"},{"value":"9783030713058","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-71305-8_17","type":"book-chapter","created":{"date-parts":[[2021,3,19]],"date-time":"2021-03-19T00:16:30Z","timestamp":1616112990000},"page":"215-224","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Identification of Biased Terms in News Articles by Comparison of Outlet-Specific Word Embeddings"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3471-4127","authenticated-orcid":false,"given":"Timo","family":"Spinde","sequence":"first","affiliation":[]},{"given":"Lada","family":"Rudnitckaia","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2444-8056","authenticated-orcid":false,"given":"Felix","family":"Hamborg","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6522-3019","authenticated-orcid":false,"given":"Bela","family":"Gipp","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,3,19]]},"reference":[{"key":"17_CR1","doi-asserted-by":"crossref","unstructured":"Bruni, E. et al.: Multimodal distributional semantics. J. Artif. Intell. Res. 49, 1\u201347 (2014)","DOI":"10.1613\/jair.4135"},{"key":"17_CR2","doi-asserted-by":"crossref","unstructured":"Finkelstein, L. et al.: Placing search in context: the concept revisited. In: Proceedings of the 10th International Conference on World Wide Web, pp. 406\u2013414 (2001)","DOI":"10.1145\/371920.372094"},{"issue":"4","key":"17_CR3","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1007\/s00799-018-0261-y","volume":"20","author":"F Hamborg","year":"2018","unstructured":"Hamborg, F., Donnay, K., Gipp, B.: Automated identification of media bias in news articles: an interdisciplinary literature review. Int. J. Digit. Libr. 20(4), 391\u2013415 (2018). https:\/\/doi.org\/10.1007\/s00799-018-0261-y","journal-title":"Int. J. Digit. Libr."},{"key":"17_CR4","unstructured":"Hamborg, F. et al.: News-please: a generic news crawler and extractor. In: Proceedings of the 15th International Symposium of Information Science (2017)"},{"key":"17_CR5","doi-asserted-by":"publisher","unstructured":"Hube, C., Fetahu, B.: Detecting biased statements in Wikipedia. In: Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW 2018, Lyon, France, pp. 1779\u20131786. ACM Press (2018). https:\/\/doi.org\/10.1145\/3184558.3191640.","DOI":"10.1145\/3184558.3191640"},{"issue":"5","key":"17_CR6","doi-asserted-by":"publisher","first-page":"905","DOI":"10.1177\/0003122419877135","volume":"84","author":"AC Kozlowski","year":"2019","unstructured":"Kozlowski, A.C., et al.: The geometry of culture: analyzing the meanings of class through word embeddings. Am Sociol Rev. 84(5), 905\u2013949 (2019). https:\/\/doi.org\/10.1177\/0003122419877135","journal-title":"Am Sociol Rev."},{"key":"17_CR7","doi-asserted-by":"publisher","unstructured":"Melamud, O. et al.: Context2vec: learning generic context embedding with bidirectional LSTM. In: Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning, , Berlin, Germany, pp. 51\u201361. Association for Computational Linguistics (2016). https:\/\/doi.org\/10.18653\/v1\/K16-1006","DOI":"10.18653\/v1\/K16-1006"},{"key":"17_CR8","unstructured":"Mikolov, T. et al.: Efficient estimation of word representations in vector space. arXiv:1301.3781 [cs]. (2013)"},{"key":"17_CR9","unstructured":"Mikolov, T. et al.: Exploiting similarities among languages for machine translation. arXiv:1309.4168 [cs]. (2013)"},{"key":"17_CR10","unstructured":"Recasens, M. et al.: Linguistic models for analyzing and detecting biased language, vol. 10 (2013)"},{"key":"17_CR11","doi-asserted-by":"publisher","unstructured":"Spinde, T. et al.: An integrated approach to detect media bias in German news articles. In: Proceedings of the ACM\/IEEE Joint Conference on Digital Libraries in 2020. pp. 505\u2013506. ACM, Virtual Event China (2020). https:\/\/doi.org\/10.1145\/3383583.3398585","DOI":"10.1145\/3383583.3398585"},{"key":"17_CR12","doi-asserted-by":"publisher","unstructured":"Spinde, T. et al.: Enabling news consumers to view and understand biased news coverage: a study on the perception and visualization of media bias. In: Proceedings of the ACM\/IEEE Joint Conference on Digital Libraries in 2020, pp. 389\u2013392. ACM, Virtual Event China (2020). https:\/\/doi.org\/10.1145\/3383583.3398619","DOI":"10.1145\/3383583.3398619"},{"key":"17_CR13","unstructured":"Spinde, T. et al.: MBIC \u2013 a media bias annotation dataset including annotator characteristics. In: Proceedings of the 16th International Conference (iConference 2021). Springer Nature, Virtual Event China (2021)."},{"key":"17_CR14","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1007\/978-3-030-65965-3_41","volume-title":"ECML PKDD 2020 Workshops","author":"T Spinde","year":"2020","unstructured":"Spinde, T., Hamborg, F., Gipp, B.: Media bias in German news articles: a combined approach. In: Koprinska, I. (ed.) ECML PKDD 2020. CCIS, vol. 1323, pp. 581\u2013590. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-65965-3_41"},{"key":"17_CR15","doi-asserted-by":"publisher","unstructured":"Tan, L., et al.: Lexical comparison between Wikipedia and Twitter corpora by using word embeddings. In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing,Beijing, China, (Volume 2: Short Papers), pp. 657\u2013661. Association for Computational Linguistics (2015). https:\/\/doi.org\/10.3115\/v1\/P15-2108.","DOI":"10.3115\/v1\/P15-2108"}],"container-title":["Lecture Notes in Computer Science","Diversity, Divergence, Dialogue"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-71305-8_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T20:13:05Z","timestamp":1620245585000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-71305-8_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030713041","9783030713058"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-71305-8_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"19 March 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"iConference","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Beijing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 March 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 March 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconference2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ischools.org\/iConference","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"ConfTool","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"225","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"32","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"59","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"14% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}