The DOI matches its Crossref record; 126 of the 126 references it cites were found in a registry or an index.
When Fake News Becomes Real: Combined Exposure to Multiple News Sources and Political Attitudes of Inefficacy, Alienation, and Cynicism
Abstract
This research assesses possible associations between viewing fake news (i.e., political satire) and attitudes of inefficacy, alienation, and cynicism toward political candidates. Using survey data collected during the 2006 Israeli election campaign, the study provides evidence for an indirect positive effect of fake news viewing in fostering the feelings of inefficacy, alienation, and cynicism, through the mediator variable of perceived realism of fake news. Within this process, hard news viewing serves as a moderator of the association between viewing fake news and their perceived realism. It was also demonstrated that perceived realism of fake news is stronger among individuals with high exposure to fake news and low exposure to hard news than among those with high exposure to both fake and hard news. Overall, this study contributes to the scientific knowledge regarding the influence of the interaction between various types of media use on political effects.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Those having high exposure to 'fake news' in the form of political televisual satire, combined with low exposure to 'hard' news, lend more credibility to 'fake news' than those with high levels of exposure to both 'fake' and 'hard' news [2].”
From Falling for Fake News: Investigating the Consumption of News via Social Media (2018) · cites this paper as [2]
Citations
Cites
Ryan, R. M., & Deci, E. L. (2000) · American Psychologist · doi:10.1037//0003-066x.55.1.68 · Cited by 54,599
Preacher, K. J., & Hayes, A. F. (2008) · Behavior Research Methods · doi:10.3758/brm.40.3.879 · Cited by 34,117
lavaan : An R Package for Structural Equation Modeling
Rosseel, Y. (2012) · Journal of Statistical Software · doi:10.18637/jss.v048.i02 · Cited by 27,955
Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions
Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007) · Multivariate Behavioral Research · doi:10.1080/00273170701341316 · Cited by 9,973
Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium
Hayes, A. F. (2009) · Communication Monographs · doi:10.1080/03637750903310360 · Cited by 9,757
Longitudinal Structural Equation Modeling
Little, T. D. (2013) · Cited by 2,604
Hayes, A. F., & Matthes, J. (2009) · Behavior Research Methods · doi:10.3758/brm.41.3.924 · Cited by 2,452
A Narcissistic Personality Inventory.
Raskin, R. N., & Hall, C. S. (1979) · Psychological Reports · doi:10.2466/pr0.1979.45.2.590 · Cited by 1,975
Setting the agenda: the mass media and public opinion
(2005) · Choice Reviews Online · doi:10.5860/choice.42-6312 · Cited by 1,826
Allison, P. D. (1998) · Cited by 1,721
Research works printed but not linked: 10
- Balch G. I. (1974). Multiple Indicators in survey research: The concept; ‘Sense of Political Efficacy’. Political Methodology, 1, 1-43.
- Baum M. A. (2003). Soft news goes to war: Public opinion & American foreign policy. Princeton, NJ: Princeton University Press.
- Campbell A., Gurin G., Warren E. M. (1954). The voter decides. Evanston, IL: Row, Peterson & Company.
- Crigler A., Just M., Belt T. (2002). The three faces of negative campaigning. Paper Presented at the Annual Conference of the American Political Science Association, Boston, MA.
- Dye T., Harmon Z., Lichter R. (1992). American political in the media age. Pacific Grove, CA: Brooks/Cole.
- Hess V. (2001, August 30-September 2). The role of political comedy in 2000 election campaign: Examining content and third-person effects. Paper presented at the Annual Meeting of American Political Science Association, San Francisco, CA.
- Peri Y. (2012). The impact of national security on development of media systems: The case of Israel. In Hallin D. C., Mancini P. (Eds.), Comparing media systems. Beyond the western word. Cambridge, MA: Cambridge University Press.
- Sarver D. L. (2004, September). No laughing matter: Late night television talk shows’ coverage of the 2004 democratic presidential primary. Paper presented at the annual meeting of the American Political Science Association, Chicago.
- Shifman L. (2012). Satire in the Holy Wonderland: The comic framing of Arab Leaders in Israel, popular communication: The International Journal of Media and Culture, 10, 94-105.
- Webster J. G. (2007). Diversity of exposure. In Napoli P. (Ed.), Media diversity and localism: Meaning and metrics (pp. 309-326). Mahwah, NJ: Erlbaum.
Cited by
Sorted by citations
Fake News Detection on Social Media: A Data Mining Perspective
Shu, K., Sliva, A., Wang, S., Tang, J., & Liu, H. (2017) · ACM SIGKDD Explorations Newsletter · doi:10.1145/3137597.3137600 · Cited by 3,304
An overview of online fake news: Characterization, detection, and discussion
Zhang, X., & Ghorbani, A. A. (2020) · Information Processing & Management · doi:10.1016/j.ipm.2019.03.004 · Cited by 997
Fake news, disinformation and misinformation in social media: a review
Aïmeur, E., Amri, S., & Brassard, G. (2023) · Social Network Analysis and Mining · doi:10.1007/s13278-023-01028-5 · Cited by 772
Fake News Detection on Social Media: A Data Mining PerspectivePreprint
Shu, K., Sliva, A. L., Wang, S., Tang, J., & Liu, H. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1708.01967 · Cited by 585
“Fake News” Is Not Simply False Information: A Concept Explication and Taxonomy of Online Content
Molina, M. D., Sundar, S. S., Le, T., & Lee, D. (2021) · American Behavioral Scientist · doi:10.1177/0002764219878224 · Cited by 485
Sahoo, S. R., & Gupta, B. B. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106983 · Cited by 445
Detecting Fake News in Social Media Networks
Aldwairi, M., & Alwahedi, A. (2018) · Procedia Computer Science · doi:10.1016/j.procs.2018.10.171 · Cited by 365
Fighting an Infodemic: COVID-19 Fake News Dataset
Patwa, P., Sharma, S., Pykl, S., Guptha, V., Kumari, G., Akhtar, M. S., Ekbal, A., Das, A., & Chakraborty, T. (2021) · Communications in computer and information science · doi:10.1007/978-3-030-73696-5_3 · Cited by 357
Visentin, M., Pizzi, G., & Pichierri, M. (2019) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2018.09.001 · Cited by 309
Why do so few people share fake news? It hurts their reputation
Altay, S., Hacquin, A.-S., & Mercier, H. (2020) · New Media & Society · doi:10.1177/1461444820969893 · Cited by 271
Melton, C. A., Olusanya, O. A., Ammar, N., & Shaban‐Nejad, A. (2021) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2021.08.010 · Cited by 215
Bryanov, K., & Vziatysheva, V. (2021) · PLOS ONE · doi:10.1371/journal.pone.0253717 · Cited by 211
Bastick, Z. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106633 · Cited by 247
Falling for Fake News: Investigating the Consumption of News via Social Media
Flintham, M., Karner, C., Bachour, K., Creswick, H., Gupta, N., & Moran, S. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173950 · Cited by 194
Detecting fake news with capsule neural networks
Goldani, M. H., Momtazi, S., & Safabakhsh, R. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106991 · Cited by 182
The Effectiveness of Social Norms in Fighting Fake News on Social Media
Gimpel, H., Heger, S., Olenberger, C., & Utz, L. (2021) · Journal of Management Information Systems · doi:10.1080/07421222.2021.1870389 · Cited by 167
Multimodal fake news detection through data augmentation-based contrastive learning
Hua, J., Cui, X., Li, X., Tang, K., & Zhu, P. (2023) · Applied Soft Computing · doi:10.1016/j.asoc.2023.110125 · Cited by 138
Torres, R., Gerhart, N., & Negahban, A. (2018) · ACM SIGMIS Database: the DATABASE for Advances in Information Systems · doi:10.1145/3242734.3242740 · Cited by 113
Ha, L. S., Perez, L. A., & Ray, R. (2019) · American Behavioral Scientist · doi:10.1177/0002764219869402 · Cited by 132
Choudhury, D., & Acharjee, T. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-12788-1 · Cited by 116
Zhou, C., Li, K., & Lu, Y. (2021) · Information Processing & Management · doi:10.1016/j.ipm.2021.102679 · Cited by 103
Barman, D., Guo, Z., & Conlan, O. (2024) · Machine Learning with Applications · doi:10.1016/j.mlwa.2024.100545 · Cited by 127
The global rise of “fake news” and the threat to democratic elections in the USA
Lee, T. (2019) · Public Administration and Policy · doi:10.1108/pap-04-2019-0008 · Cited by 114
Jones-Jang, S. M., Kim, D. H., & Kenski, K. M. (2020) · New Media & Society · doi:10.1177/1461444820943878 · Cited by 100
Sampat, B. H., & Raj, S. (2022) · Aslib Journal of Information Management · doi:10.1108/ajim-08-2021-0232 · Cited by 109
Kim, B., Xiong, A., Lee, D., & Han, K. (2021) · PLoS ONE · doi:10.1371/journal.pone.0260080 · Cited by 113
Arresting fake news sharing on social media: a theory of planned behavior approach
Pundir, V., Devi, E. B., & Nath, V. (2021) · Management Research Review · doi:10.1108/mrr-05-2020-0286 · Cited by 105
Cheng, Y., & Chen, Z. F. (2020) · Mass Communication & Society · doi:10.1080/15205436.2020.1750656 · Cited by 96
A Working Definition of Fake News
Baptista, J. P., & Gradim, A. (2022) · Encyclopedia · doi:10.3390/encyclopedia2010043 · Cited by 103
Fact checking: un nuevo desafío del periodismo
Ruiz, M. J. U., García, L. P., & Verdú, F. J. M. (2018) · El Profesional de la Informacion · doi:10.3145/epi.2018.jul.02 · Cited by 80
Chan, M., Hu, P., & Mak, M. K. F. (2020) · Journalism & Mass Communication Quarterly · doi:10.1177/1077699020961519 · Cited by 89
Detecting Fake News on Social Media
Shu, K., & Liu, H. (2019) · Synthesis lectures on data mining and knowledge discovery · doi:10.1007/978-3-031-01915-9 · Cited by 111
Knobloch‐Westerwick, S., & Lavis, S. M. (2017) · Journal of Communication · doi:10.1111/jcom.12271 · Cited by 76
NudgeCred: Supporting News Credibility Assessment on Social Media Through Nudges
Bhuiyan, M. M., Horning, M., Lee, S. W., & Mitra, T. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3479571 · Cited by 83
A phenomenology of news: Understanding news in digital culture
Bengtsson, S., & Johansson, S. (2020) · Journalism · doi:10.1177/1464884919901194 · Cited by 71
Ali, K. I., Li, C., Zain-ul-abdin, K., & Muqtadir, S. A. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107307 · Cited by 80
Baek, Y. M., Kang, H., & Kim, S. (2018) · Mass Communication & Society · doi:10.1080/15205436.2018.1562076 · Cited by 70
Apuke, O. D., Omar, B., Tunca, E. A., & Gever, V. C. (2022) · Journal of Information Science · doi:10.1177/01655515221121942 · Cited by 71
‘Fake news’ meets tourism: a proposed research agenda
Fedeli, G. (2019) · Annals of Tourism Research · doi:10.1016/j.annals.2019.02.002 · Cited by 65
Kwanda, F. A., & Lin, T. T. C. (2020) · Information Communication & Society · doi:10.1080/1369118x.2020.1759669 · Cited by 64
Kim, S., & Kim, S. (2020) · Sustainability · doi:10.3390/su12239904 · Cited by 71
“Save the Pacific Northwest tree octopus”: a hoax revisited. Or
Loos, E. F., Ivan, L., & Leu, D. J. (2018) · Information and Learning Sciences · doi:10.1108/ils-04-2018-0031 · Cited by 70
Determinants of the Perceived Credibility of Rebuttals Concerning Health Misinformation
Sui, Y., & Zhang, B. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18031345 · Cited by 67
The anatomy of ‘fake news’: Studying false messages as digital objects
Khan, A., Brohman, M. K., & Addas, S. (2021) · Journal of Information Technology · doi:10.1177/02683962211037693 · Cited by 74
Fake news on the internet: a literature review, synthesis and directions for future research
Wu, Y., Ngai, E. W. T., Wu, P., & Wu, C. (2022) · Internet Research · doi:10.1108/intr-05-2021-0294 · Cited by 82
Linguistic-Based Detection of Fake News in Social Media
Mahyoob, M., Algaraady, J., & Alrahaili, M. (2020) · International Journal of English Linguistics · doi:10.5539/ijel.v11n1p99 · Cited by 65
Defining Misinformation and Related Terms in Health-Related Literature: Scoping Review
Mikati, I. K. E., Hoteit, R., Harb, T., Zein, O. E., Piggott, T., Melki, J. P., Mustafa, R. A., & Akl, E. A. (2023) · Journal of Medical Internet Research · doi:10.2196/45731 · Cited by 73
Traylor, T., Straub, J., Chaudhary, S., & Snell, N. (2019) · IEEE International Conference on Semantic Computing (ICSC) · doi:10.1109/icosc.2019.8665593 · Cited by 63
Media and Policy Making in the Digital Age
Grossman, E. (2022) · Annual Review of Political Science · doi:10.1146/annurev-polisci-051120-103422 · Cited by 82
Velichety, S., & Shrivastava, U. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2022.102474 · Cited by 65
SEMI-FND: Stacked ensemble based multimodal inferencing framework for faster fake news detection
Singh, P., Srivastava, R., Rana, K. P. S., & Kumar, V. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.119302 · Cited by 65
Weiss, A. P., Alwan, A., Garcia, E. P., & Garcia, J. (2020) · International Journal for Educational Integrity · doi:10.1007/s40979-019-0049-x · Cited by 57
Masip, P., Suau, J., & Ruiz-Caballero, C. (2017) · American Behavioral Scientist · doi:10.1177/0002764217708586 · Cited by 55
Maybe it Is More Than a Joke: Satire, Mobilization, and Political Participation*
Baumgartner, J. C., & Lockerbie, B. (2018) · Social Science Quarterly · doi:10.1111/ssqu.12501 · Cited by 49
Misinformation Concerns and Online News Participation among internet Users in India
Neyazi, T. A., Kalogeropoulos, A., & Nielsen, R. (2021) · Social Media + Society · doi:10.1177/20563051211009013 · Cited by 46
Kar, A. K., Tripathi, S. N., Malik, N., Gupta, S., & Sivarajah, U. (2022) · Annals of Operations Research · doi:10.1007/s10479-022-04997-6 · Cited by 49
Ruiz, M. J. U., Anzera, G., & Verdú, F. J. M. (2019) · Revista Mediterránea de Comunicación · doi:10.14198/medcom2020.11.2.3 · Cited by 46
Orosz, G., Faragó, L., Paskuj, B., & Krekó, P. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108338 · Cited by 62
de Oliveira, T. M., Quinan, R., & Toth, J. P. (2020) · Reciis · doi:10.29397/reciis.v14i1.1988 · Cited by 49
Bidirectional LSTM Based on POS tags and CNN Architecture for Fake News Detection
Balwant, M. K. (2019) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt45670.2019.8944460 · Cited by 45
Who Believes in Fake News? Identification of Political (A)Symmetries
Baptista, J. P., & Gradim, A. (2022) · Social Sciences · doi:10.3390/socsci11100460 · Cited by 53
Helpful hypocrisy? Investigating ‘double-talk’ and irony in CSR marketing communications
Glozer, S., & Morsing, M. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2019.08.048 · Cited by 42
Graph-based Modeling of Online Communities for Fake News DetectionPreprint
Chandra, S., Mishra, P., Yannakoudakis, H., Nimishakavi, M., Saeidi, M., & Shutova, E. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2008.06274 · Cited by 38
Percepciones de la ciudadanía española ante la desinformación en tiempos de la COVID-19
Casero-Ripollés, A., Doménech-Fabregat, H., & Alonso-Muñoz, L. (2023) · Revista ICONO14 · doi:10.7195/ri14.v21i1.1988 · Cited by 42
Román-San-Miguel, A., Valenzuela, N. C. S.-G., & Zambrano, R. E. (2020) · Revista Latina de Comunicación Social · doi:10.4185/rlcs-2020-1481 · Cited by 46
de Zúñiga, H. G., González-González, P., & Goyanes, M. (2022) · American Behavioral Scientist · doi:10.1177/00027642221118272 · Cited by 45
Hall, M., Mazarakis, A., Chorley, M. J., & Caton, S. J. (2018) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2018.1471575 · Cited by 39
The impact of algorithmic decision-making processes on young people’s well-being
Vallejos, E. P., Dowthwaite, L., Creswich, H., Portillo, V., Koene, A. R., Jirotka, M. D., McCarthy, A., & McAuley, D. (2021) · Health Informatics Journal · doi:10.1177/1460458220972750 · Cited by 37
Protection from ‘Fake News’: The Need for Descriptive Factual Labeling for Online Content
Spradling, M., Straub, J., & Strong, J. (2021) · Future Internet · doi:10.3390/fi13060142 · Cited by 36
Alternative Counter-News Use and Fake News Recall During the COVID-19 Crisis
Frischlich, L., Kuhfeldt, L., Schatto-Eckrodt, T., & Clever, L. (2023) · Digital Journalism · doi:10.1080/21670811.2022.2106259 · Cited by 38
Petit, J., Li, C., Millet, B., Ali, K. I., & Sun, R. (2021) · Science Communication · doi:10.1177/10755470211009887 · Cited by 39
Affective information processing of fake news: evidence from NeuroIS
Lutz, B., Adam, M. T. P., Feuerriegel, S., Pröllochs, N., & Neumann, D. (2023) · European Journal of Information Systems · doi:10.1080/0960085x.2023.2224973 · Cited by 38
Nanath, K., Kaitheri, S., Malik, S., & Mustafa, S. (2022) · Journal of Systems and Information Technology · doi:10.1108/jsit-11-2020-0257 · Cited by 33
Bibliometric analysis of fake news indexed in Web of Science and Scopus (2001-2020)
Patra, R. K., Pandey, N., & Sudarsan, D. (2022) · Global Knowledge, Memory and Communication · doi:10.1108/gkmc-11-2021-0177 · Cited by 36
How ‘Fake News’ Affects Autism Policy
Keenan, M., & Dillenburger, K. (2018) · Societies · doi:10.3390/soc8020029 · Cited by 34
Making news funny: Differences in news framing between journalists and comedians
Ödmark, S. (2018) · Journalism · doi:10.1177/1464884918820432 · Cited by 30
Sellnow, T. L., Parrish, A. J., & Semenas, L. (2019) · Journal of International Crisis and Risk Communication Research · doi:10.30658/jicrcr.2.1.6 · Cited by 35
Percepción de las noticias falsas en universitarios de Portugal: análisis de su consumo y actitudes
Figueira, J., & Santos, S. (2019) · El Profesional de la Informacion · doi:10.3145/epi.2019.may.15 · Cited by 30
The Rhetoric Side of Fake News: A New Weapon for Anti-Politics?
Scardigno, R., & Mininni, G. (2019) · World Futures · doi:10.1080/02604027.2019.1703158 · Cited by 36
Lee, H., Kwak, N., Campbell, S. W., & Ling, R. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.05.017 · Cited by 28
On the Origin, Proliferation and Tone of Fake News
Parikh, S. B., Patil, V., & Atrey, P. K. (2019) · IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) · doi:10.1109/mipr.2019.00031 · Cited by 30
Detecting Fake News on Social Media
Shu, K., & Liu, H. (2019) · Synthesis lectures on data mining and knowledge discovery · doi:10.2200/s00926ed1v01y201906dmk018 · Cited by 27
Yan, F., Zhang, M., Wei, B., Ren, K., & Jiang, W. (2024) · Alexandria Engineering Journal · doi:10.1016/j.aej.2024.08.103 · Cited by 29
COVID-19 prediction with Chest X-Ray images using CNN
Maddula, P., Srikanth, P., Pokkuluri, K. S., Raja Rao, P. B. V., & Murty, P. T. S. (2023) · International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) · doi:10.1109/iitcee57236.2023.10090951 · Cited by 26
Fake News and its Credibility Evaluation by Dynamic Relational Networks: A Bottom up Approach
Ishida, Y., & 藏屋, 沙. (2018) · Procedia Computer Science · doi:10.1016/j.procs.2018.07.226 · Cited by 25
Wright, C. L., Brinklow-Vaughn, R., Johannes, K., & Rodriguez, F. (2020) · Howard Journal of Communications · doi:10.1080/10646175.2020.1810180 · Cited by 25
Masip, P., Suau, J., & Ruiz-Caballero, C. (2020) · Media and Communication · doi:10.17645/mac.v8i4.3146 · Cited by 25
Romanian adolescents, fake news, and the third-person effect: a cross-sectional study
Corbu, N., Oprea, D.-A., & Frunzaru, V. (2021) · Journal of Children and Media · doi:10.1080/17482798.2021.1992460 · Cited by 32
FakeYou! - A Gamified Approach for Building and Evaluating Resilience Against Fake News
Clever, L., Assenmacher, D., Müller, K., Seiler, M. V., Riehle, D. M., Preuß, M., & Grimme, C. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-61841-4_15 · Cited by 24
Hohlfeld, R., Harnischmacher, M., Heinke, E., Lehner, L. S., Sengl, M., & Verlagsgesellschaft, N. (2020) · Nomos Verlagsgesellschaft mbH & Co. KG eBooks · doi:10.5771/9783748901334 · Cited by 34
Wintterlin, F., Frischlich, L., Boberg, S., Schatto‐Eckrodt, T., Reer, F., & Quandt, T. (2021) · Political Communication · doi:10.1080/10584609.2021.1888829 · Cited by 24
Sui, M., Hawkins, I., & Wang, R. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107654 · Cited by 30
FNNet: a secure ensemble-based approach for fake news detection using blockchain
Rani, P., & Shokeen, J. (2024) · The Journal of Supercomputing · doi:10.1007/s11227-024-06216-4 · Cited by 25
Fake News Detection Using Deep Learning
Sharma, S., Saraswat, M., & Dubey, A. K. (2021) · Communications in computer and information science · doi:10.1007/978-3-030-91305-2_19 · Cited by 28
Steinfeld, N. (2022) · Online Information Review · doi:10.1108/oir-05-2020-0197 · Cited by 29
Under the Fire of Disinformation. Attitudes Towards Fake News in the Ukrainian Frozen War
Kreft, J., Boguszewicz-Kreft, M., & Hliebova, D. (2023) · Journalism Practice · doi:10.1080/17512786.2023.2168209 · Cited by 23
Fake News Reading on Social Media
Šimko, J., Hanakova, M., Racsko, P., Tomlein, M., Móro, R., & Bieliková, M. (2019) · ACM Conference on Hypertext and Social Media (HT) · doi:10.1145/3342220.3343642 · Cited by 22
Typology, Etiology, and Fact-Checking: A Pathological Study of Top Fake News in China
Wang, M., Rao, M., & Sun, Z. (2020) · Journalism Practice · doi:10.1080/17512786.2020.1806723 · Cited by 22
Liquid racism in Greek online satirical news
Tsakona, V. (2024) · European Journal of Humour Research · doi:10.7592/ejhr.2024.12.1.825 · Cited by 21
A study of fake news reading and annotating in social media context
Simko, J., Racsko, P., Tomlein, M., Hanakova, M., Móro, R., & Bielikova, M. (2021) · New Review of Hypermedia and Multimedia · doi:10.1080/13614568.2021.1889691 · Cited by 23
Metadata
- Authors
- Balmas, M.
- Affiliations
- Hebrew University of Jerusalem (IL)
- Corresponding author
- Balmas, Meital
- ORCID
- Balmas, Meital
- Venue
- Communication Research
- Publisher
- SAGE Publications
- Published
- 2012-07-24
- Volume
- 41
- Issue
- 3
- Pages
- 430-454
- ISSN
- 0093-6502 (ISSN-L)
- 1552-3810
- OpenAlex
- W2096555427
- Cited by
- 325
- References
- 124
- Citations by year
- 2026: 9 · 2025: 28 · 2024: 32 · 2023: 37 · 2022: 48 · 2021: 43 · 2020: 45 · 2019: 41 · 2018: 24 · 2017: 12 · 2016: 2 · 2015: 3 · 2014: 1
- FWCI
- 4.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Communication Research (publishedVersion)
- Funders
- Hebrew University of Jerusalem
- Tel Aviv University
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Sociology and Political Science › Media Influence and Politics
- Social Sciences › Psychology › Social Psychology › Humor Studies and Applications
- Keywords
- fake news, political satire, perceived realism, political cynicism, political alienation, media influence, political candidates, news consumption
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review