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This study adopts a user-centric approach to analyze the linguistic features of misinformation actually consumed by individuals during web browsing. Using data from a nationally representative panel of 1,240 American adults and their web-browsing data (21M URL visits) during the 2020 U.S. Presidential Election, we examine linguistic and topical differences in the content of 91K unique misinformation and hard news webpages by utilizing natural language processing techniques and Large Language Models. We find that misinformation consumed by users is generally easier to read, exhibits higher negative sentiment, and employs more moral language than hard news. We also find significant linguistic variations across topics--misinformation can be diverse and vary in linguistic features depending on the subject matter. We also identify heterogeneity across key user characteristics: older adults consume more misinformation about COVID-19 and health, with content showing more negative sentiment and fewer moral terms than expected. Republicans engage with misinformation characterized by more negative sentiment and higher moral language, focusing less on health topics and more on social and political issues. These results highlight the importance of a user-centric approach and suggest that interventions to combat misinformation should be tailored to specific topics and user characteristics for greater effectiveness.<\/jats:p>","DOI":"10.1145\/3757571","type":"journal-article","created":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T17:32:00Z","timestamp":1760635920000},"page":"1-40","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Contextualizing Misinformation: A User-Centric Approach to Linguistic and Topical Patterns in News Consumption"],"prefix":"10.1145","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5179-2525","authenticated-orcid":false,"given":"Ross","family":"Dahlke","sequence":"first","affiliation":[{"name":"School of Journalism and Mass Communication, University of Wisconsin-Madison, Madison, WI, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7093-6945","authenticated-orcid":false,"given":"Fangjing","family":"Tu","sequence":"additional","affiliation":[{"name":"Social Media Lab, Stanford University, Stanford, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5723-687X","authenticated-orcid":false,"given":"Yi-Chia","family":"Wang","sequence":"additional","affiliation":[{"name":"Social Media Lab, Stanford University, Stanford, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9955-6070","authenticated-orcid":false,"given":"Yingdan","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Communication Studies, Northwestern University, Evanston, Illinois, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4228-7896","authenticated-orcid":false,"given":"Blain W","family":"Engeda","sequence":"additional","affiliation":[{"name":"Social Media Lab, Stanford University, Stanford, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5367-2677","authenticated-orcid":false,"given":"Jeffrey T.","family":"Hancock","sequence":"additional","affiliation":[{"name":"Social Media Lab, Stanford University, Stanford, CA, USA"}]}],"member":"320","published-online":{"date-parts":[[2025,10,16]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2012.34"},{"key":"e_1_2_1_2_1","first-page":"1","volume-title":"Proceedings of the ACM on Human-Computer Interaction 7, CSCW1","author":"Aghajari Zhila","year":"2023","unstructured":"Zhila Aghajari, Eric PS Baumer, and Dominic DiFranzo. 2023. 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Political psychology 38, 2 (2017), 167-208."},{"key":"e_1_2_1_76_1","volume-title":"Older Americans continue to follow COVID-19 news more closely than younger adults","author":"Jurkowitz Mark","year":"2020","unstructured":"Mark Jurkowitz and Amy Mitchell. 2020. Older Americans continue to follow COVID-19 news more closely than younger adults. Pew Research Center 22 (2020)."},{"key":"e_1_2_1_77_1","doi-asserted-by":"crossref","unstructured":"Mona Kasra Cuihua Shen and James F O'Brien. 2018. Seeing is believing: How people fail to identify fake images on the web. In Extended abstracts of the 2018 CHI conference on human factors in computing systems. 1-6.","DOI":"10.1145\/3170427.3188604"},{"key":"e_1_2_1_78_1","volume-title":"Political polarization on COVID-19 pandemic response in the United States. Personality and individual differences 179","author":"Kerr John","year":"2021","unstructured":"John Kerr, Costas Panagopoulos, and Sander Van Der Linden. 2021. 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Building resilience to misinformation in communities of color: Results from two studies of tailored digital media literacy interventions. new media & society (2024), 14614448241227841."},{"key":"e_1_2_1_83_1","volume-title":"Fact-checking'' fact checkers: A data-driven approach. Harvard Kennedy School Misinformation Review","author":"Lee Sian","year":"2023","unstructured":"Sian Lee, Aiping Xiong, Haeseung Seo, and Dongwon Lee. 2023. ''Fact-checking'' fact checkers: A data-driven approach. Harvard Kennedy School Misinformation Review (2023)."},{"key":"e_1_2_1_84_1","volume-title":"Identifying nuances in fake news vs. satire: using semantic and linguistic cues. arXiv preprint arXiv:1910.01160","author":"Levi Or","year":"2019","unstructured":"Or Levi, Pedram Hosseini, Mona Diab, and David A Broniatowski. 2019. 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Springer, 324-334."},{"key":"e_1_2_1_106_1","volume-title":"Sayan Banerjee, Benjamin Toff, Richard Fletcher, and Rasmus Kleis Nielsen.","author":"Mont'Alverne Camila","year":"2024","unstructured":"Camila Mont'Alverne, Amy Ross Arguedas, Sayan Banerjee, Benjamin Toff, Richard Fletcher, and Rasmus Kleis Nielsen. 2024. The electoral misinformation nexus: how news consumption, platform use, and trust in news influence belief in electoral misinformation. Public Opinion Quarterly 88, SI (2024), 681-707."},{"key":"e_1_2_1_107_1","volume-title":"What, When, Where, and Why? OSF preprint","author":"Moore Ryan C","year":"2023","unstructured":"Ryan C Moore, Ross Dahlke, Priyanjana Bengani, and Jeffrey Hancock. 2023. The Consumption of Pink Slime Journalism: Who, What, When, Where, and Why? OSF preprint (2023)."},{"key":"e_1_2_1_108_1","doi-asserted-by":"crossref","unstructured":"Ryan C Moore Ross Dahlke Peter Forberg and Jeffrey Hancock. 2024. The private life of QAnon: A mixed methods investigation of Americans' exposure to QAnon content on the web. (2024).","DOI":"10.1145\/3687057"},{"key":"e_1_2_1_109_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41562-023-01564-2"},{"key":"e_1_2_1_110_1","volume-title":"A digital media literacy intervention for older adults improves resilience to fake news. Scientific reports 12, 1","author":"Moore Ryan C","year":"2022","unstructured":"Ryan C Moore and Jeffrey T Hancock. 2022. A digital media literacy intervention for older adults improves resilience to fake news. Scientific reports 12, 1 (2022), 6008."},{"key":"e_1_2_1_111_1","volume-title":"Differences in misinformation sharing can lead to politically asymmetric sanctions. Nature","author":"Mosleh Mohsen","year":"2024","unstructured":"Mohsen Mosleh, Qi Yang, Tauhid Zaman, Gordon Pennycook, and David G Rand. 2024. Differences in misinformation sharing can lead to politically asymmetric sanctions. Nature (2024), 1-8."},{"key":"e_1_2_1_112_1","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1177\/1532673X211022639","article-title":"Republicans, not democrats, are more likely to endorse anti-vaccine misinformation","volume":"49","author":"Motta Matthew","year":"2021","unstructured":"Matthew Motta. 2021. Republicans, not democrats, are more likely to endorse anti-vaccine misinformation. American Politics Research 49, 5 (2021), 428-438.","journal-title":"American Politics Research"},{"key":"e_1_2_1_113_1","first-page":"10160","volume-title":"Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING","author":"Mu Yida","year":"2024","unstructured":"Yida Mu, Chun Dong, Kalina Bontcheva, and Xingyi Song. 2024. Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling. 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Personality and social psychology bulletin 29, 5","author":"Newman Matthew L","year":"2003","unstructured":"Matthew L Newman, James W Pennebaker, Diane S Berry, and Jane M Richards. 2003. Lying words: Predicting deception from linguistic styles. Personality and social psychology bulletin 29, 5 (2003), 665-675."},{"key":"e_1_2_1_120_1","doi-asserted-by":"crossref","first-page":"3950","DOI":"10.3390\/ijerph20053950","article-title":"How COVID-19 news affect older adults' mental health-Evidence of a positivity bias","volume":"20","author":"Ng Zoe Ziyi","year":"2023","unstructured":"Zoe Ziyi Ng, Grace Li, Suzanne Flynn, and W Quin Yow. 2023. How COVID-19 news affect older adults' mental health-Evidence of a positivity bias. 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Concentration of online news traffic and publishers' reliance on platform referrals: Evidence from passive tracking data in the UK. Journal of Quantitative Description: Digital Media 2 (2022)."},{"key":"e_1_2_1_124_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11109-010-9112-2"},{"key":"e_1_2_1_125_1","doi-asserted-by":"crossref","unstructured":"Brendan Nyhan Jaime Settle Emily Thorson Magdalena Wojcieszak Pablo Barber\u00e1 Annie Y Chen Hunt Allcott Taylor Brown Adriana Crespo-Tenorio Drew Dimmery et al. 2023. Like-minded sources on Facebook are prevalent but not polarizing. Nature 620 7972 (2023) 137-144.","DOI":"10.1038\/s41586-023-06297-w"},{"key":"e_1_2_1_126_1","volume-title":"How to train your stochastic parrot: Large language models for political texts. Political Science Research and Methods","author":"Ornstein Joseph T","year":"2023","unstructured":"Joseph T Ornstein, Elise N Blasingame, and Jake S Truscott. 2023. How to train your stochastic parrot: Large language models for political texts. Political Science Research and Methods (2023), 1-18."},{"key":"e_1_2_1_127_1","first-page":"1","volume-title":"Proceedings of the ACM on human-computer interaction 6, CSCW1","author":"Pasquetto Irene V","year":"2022","unstructured":"Irene V Pasquetto, Eaman Jahani, Shubham Atreja, and Matthew Baum. 2022. Social debunking of misinformation on WhatsApp: the case for strong and in-group ties. Proceedings of the ACM on human-computer interaction 6, CSCW1 (2022), 1-35."},{"key":"e_1_2_1_128_1","doi-asserted-by":"publisher","DOI":"10.1080\/10584609.2023.2175398"},{"key":"e_1_2_1_129_1","volume-title":"Large Language Model-Informed Feature Discovery Improves Prediction and Interpretation of Credibility Perceptions of Visual Content. arXiv preprint arXiv:2504.10878","author":"Peng Yilang","year":"2025","unstructured":"Yilang Peng, Sijia Qian, Yingdan Lu, and Cuihua Shen. 2025. 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Unpublished manuscript: https:\/\/psyarxiv. com\/3n9u8 (2019), 1-84."},{"key":"e_1_2_1_132_1","volume-title":"What makes us think? A three-stage dual-process model of analytic engagement. Cognitive psychology 80","author":"Pennycook Gordon","year":"2015","unstructured":"Gordon Pennycook, Jonathan A Fugelsang, and Derek J Koehler. 2015. What makes us think? A three-stage dual-process model of analytic engagement. Cognitive psychology 80 (2015), 34-72."},{"key":"e_1_2_1_133_1","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1177\/0146167218783192","article-title":"Cognitive reflection and the 2016 US Presidential election","volume":"45","author":"Pennycook Gordon","year":"2019","unstructured":"Gordon Pennycook and David G Rand. 2019. Cognitive reflection and the 2016 US Presidential election. 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Social Media Algorithms Can Shape Affective Polarization via Exposure to Antidemocratic Attitudes and Partisan Animosity. arXiv preprint arXiv:2411.14652 (2024)."},{"key":"e_1_2_1_138_1","article-title":"Fighting cheapfakes: using a digital media literacy intervention to motivate reverse search of out-of-context visual misinformation","volume":"28","author":"Qian Sijia","year":"2023","unstructured":"Sijia Qian, Cuihua Shen, and Jingwen Zhang. 2023. Fighting cheapfakes: using a digital media literacy intervention to motivate reverse search of out-of-context visual misinformation. Journal of Computer-Mediated Communication 28, 1 (2023), zmac024.","journal-title":"Journal of Computer-Mediated Communication"},{"key":"e_1_2_1_139_1","volume-title":"Differences in political participation between young and old people. Contemporary politics 13, 2","author":"Quintelier Ellen","year":"2007","unstructured":"Ellen Quintelier. 2007. 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Analyzing the temporal dynamics of linguistic features contained in misinformation. arXiv preprint arXiv:2503.04786 (2025)."},{"key":"e_1_2_1_154_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512257"},{"key":"e_1_2_1_155_1","doi-asserted-by":"publisher","DOI":"10.1145\/3305260"},{"key":"e_1_2_1_156_1","volume-title":"News use across social media platforms","author":"Shearer Elisa","year":"2020","unstructured":"Elisa Shearer and Amy Mitchell. 2021. News use across social media platforms in 2020. (2021)."},{"key":"e_1_2_1_157_1","doi-asserted-by":"publisher","DOI":"10.1145\/3137597.3137600"},{"key":"e_1_2_1_158_1","first-page":"411","volume-title":"Proceedings of the 14th ACM Web Science Conference","author":"Sipka Andrea","year":"2022","unstructured":"Andrea Sipka, Aniko Hannak, and Aleksandra Urman. 2022. Comparing the Language of QAnon-related content on Parler, Gab, and Twitter. 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In The 2023 Conference on Empirical Methods in Natural Language Processing."},{"key":"e_1_2_1_161_1","doi-asserted-by":"publisher","DOI":"10.1177\/2053168021993979"},{"key":"e_1_2_1_162_1","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1093\/joc\/jqad018","article-title":"Curbing the decline of local news by building relationships with the audience","volume":"73","author":"Stroud Natalie Jomini","year":"2023","unstructured":"Natalie Jomini Stroud and Emily Van Duyn. 2023. Curbing the decline of local news by building relationships with the audience. 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Scientific reports 12 1 (2022) 21672.","DOI":"10.1038\/s41598-022-25617-0"},{"key":"e_1_2_1_172_1","unstructured":"Asahi Ushio. 2023. LM-PPL: Language Model Perplexity. https:\/\/github.com\/asahi417\/lmppl. Accessed: 2025-06-30."},{"key":"e_1_2_1_173_1","doi-asserted-by":"crossref","first-page":"1208","DOI":"10.1080\/21670811.2021.1943481","article-title":"Does a crisis change news habits? A comparative study of the effects of COVID-19 on news media use in 17 European countries","volume":"9","author":"Aelst Peter Van","year":"2021","unstructured":"Peter Van Aelst, Fanni Toth, Laia Castro, V\u00e1clav \u0160tetka, Claes de Vreese, Toril Aalberg, Ana Sofia Cardenal, Nicoleta Corbu, Frank Esser, David Nicolas Hopmann, et al. 2021. Does a crisis change news habits? A comparative study of the effects of COVID-19 on news media use in 17 European countries. 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