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A Topic-Agnostic Approach for Identifying Fake News Pages

Sonia Castelo, Thais Almeida, Anas Elghafari, Aécio Santos, Kien Pham, Eduardo Nakamura, Juliana Freire
2019 Companion Proceedings of The 2019 World Wide Web Conference on - WWW '19  
To address this challenge, we propose a topic-agnostic (TAG) classification strategy that uses linguistic and web-markup features to identify fake news pages.  ...  An important challenge for these approaches comes from the dynamic nature of news: as new political events are covered, topics and discourse constantly change and thus, a classifier trained using content  ...  ACKNOWLEDGMENTS This work was partially supported by the DARPA MEMEX and D3M programs, NSF award CNS-1229185, and the Brazilian National Council for the Improvement of Higher Education (CAPES) under grant  ... 
doi:10.1145/3308560.3316739 dblp:conf/www/CasteloAESPNF19 fatcat:tprhcmp3yza3doukr64ibnfxrm

A New Application of Social Impact in Social Media for Overcoming Fake News in Health

Cristina M. Pulido, Laura Ruiz-Eugenio, Gisela Redondo-Sama, Beatriz Villarejo-Carballido
2020 International Journal of Environmental Research and Public Health  
This article contributes to a new application of social impact in social media (SISM) methodology.  ...  One of the challenges today is to face fake news (false information) in health due to its potential impact on people's lives.  ...  Fake News, Health and Social Media In a globalized world, the spread of fake news content on health-related topics in social media and the ways in which it spreads have recently been discussed in depth  ... 
doi:10.3390/ijerph17072430 pmid:32260048 fatcat:rroasomtanfbrmxqhwul7iacqq

Misinformation vs. Situational Awareness: The Art of Deception and the Need for Cross-Domain Detection

Constantinos-Giovanni Xarhoulacos, Argiro Anagnostopoulou, George Stergiopoulos, Dimitris Gritzalis
2021 Sensors  
., deception detection approaches that focus on a specific aspect of misinformation, such as a particular topic, language, or source.  ...  The sheer volume of news produced daily necessitates the development of automated methods for separating fact from fiction.  ...  [33] introduced a topic-agnostic (TAG) classification approach that focused on the identification of fake news pages.  ... 
doi:10.3390/s21165496 pmid:34450937 pmcid:PMC8401861 fatcat:r4u3jxnlabfh5jhs2qkx3zowzq

Enabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias

Timo Spinde, Felix Hamborg, Karsten Donnay, Angelica Becerra, Bela Gipp
2020 Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020  
Showing participants an overview page, which opposes different viewpoints on the same topic, does not yield differences in respondents' bias perception.  ...  Many researchers focus on automatically detecting and identifying media bias in the news, but only very few studies exist that systematically analyze how theses biases can be best visualized and communicated  ...  ACKNOWLEDGMENTS This work was supported by a grant from the Heidelberg Academy of Sciences and Humanities.  ... 
doi:10.1145/3383583.3398619 dblp:conf/jcdl/SpindeHDBG20 fatcat:6z6caf5hd5epxg3b6vci4g57yq

A survey of Big Data dimensions vs Social Networks analysis

Michele Ianni, Elio Masciari, Giancarlo Sperlí
2020 Journal of Intelligent Information Systems  
Thus, traditional approaches quickly became unpractical for real life applications due their intrinsic properties: large amount of user-generated data (text, video, image and audio), data heterogeneity  ...  This survey will focus on the analyses performed in last two decades on these kind of data w.r.t. the dimensions defined for Big Data paradigm (the so called Big Data 6 V's).  ...  There is a need for a more sophisticated retrieval approach for identifying those documents that could be interesting to analyze the Social Networks realm w.r.t. their Big data features.  ... 
doi:10.1007/s10844-020-00629-2 pmid:33191981 pmcid:PMC7649712 fatcat:3hvd5sshwzd67lxi4qlo2sgnwe

Modeling Influence and Community in Social Media Data using the Digital Methods Initiative-Twitter Capture and Analysis Toolkit (DMI-TCAT) and Gephi

Jacob Groshek, Vincent de Mees, Rob Eschmann
2020 MethodsX  
For more details on the DMI-TCAT and its operation, we encourage readers to visit its github page ( and note that this cloud-based analytics program  ...  While these figures and the data gathered though the DMI-TCAT do not provide full firehose access to all historical tweets, they do provide a generally representative sample of tweets that is relatively  ...  Acknowledgements We offer our sincere and heartfelt thanks to the developers of the DMI -TCAT, Erik Borra and Bernhard Rieder for their tireless efforts (cf., [1] ).  ... 
doi:10.1016/j.mex.2020.101164 pmid:33665150 pmcid:PMC7897708 fatcat:e3b34fpwrrboth6wzg5x47z6zu

High-level Approaches to Detect Malicious Political Activity on Twitter [article]

Miguel Sozinho Ramalho
2021 arXiv   pre-print
Notably, by placing emphasis on using data features that are less susceptible to malicious manipulation and also on looking for high-level approaches that avoid a granularity level that is biased towards  ...  news posting accounts.  ...  One unfortunate limitation is that some of the identified fake news pages are Facebook pages.  ... 
arXiv:2102.04293v1 fatcat:35qft6sxtneovpdz6iw6o7roy4

No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet Detection [article]

Debanjana Kar, Mohit Bhardwaj, Suranjana Samanta, Amar Prakash Azad
2020 arXiv   pre-print
We propose a BERT based model augmented with additional relevant features extracted from Twitter to identify fake tweets.  ...  Towards this, we propose an approach to detect fake news about COVID-19 early on from social media, such as tweets, for multiple Indic-Languages besides English.  ...  RELATED LITERATURE Fake News Detection: Fake news or false information involves various research streams such as fact-checking [5] , topic credibility [6] .  ... 
arXiv:2010.06906v1 fatcat:fyfih46qcrh3teazrf6dahtlhq

A Survey on Predicting the Factuality and the Bias of News Media [article]

Preslav Nakov, Husrev Taha Sencar, Jisun An, Haewoon Kwak
2021 arXiv   pre-print
Source factuality is also an important element of systems for automatic fact-checking and "fake news" detection, as they need to assess the reliability of the evidence they retrieve online.  ...  Political bias detection, which in the Western political landscape is about predicting left-center-right bias, is an equally important topic, which has experienced a similar shift towards profiling entire  ...  In other words, the ground truth needed for building a learning approach varies, triggering the need for reevaluating the performance of proposed approaches.  ... 
arXiv:2103.12506v1 fatcat:cpswzjj72nbx5ox3qykgmr2zpu

A Systematic Review on the Detection of Fake News Articles [article]

Nathaniel Hoy, Theodora Koulouri
2021 arXiv   pre-print
By systematically reviewing the literature, this paper aims to delineate the approaches for fake news detection that are most performant, identify limitations with existing approaches, and suggest ways  ...  These leverage a number of datasets, feature extraction/selection techniques and machine learning (ML) algorithms to detect fake news before it spreads.  ...  Finally, this review aims to explore fake news in a topic-agnostic manner, therefore studies should aim to explore detection of fake news in general not in relation to specific topics or events such as  ... 
arXiv:2110.11240v1 fatcat:ad5oubvr2rba7emxxpulyjn3o4

A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatar [article]

Preslav Nakov, Firoj Alam, Shaden Shaar, Giovanni Da San Martino, Yifan Zhang
2021 arXiv   pre-print
While COVID-19 vaccines are finally becoming widely available, a second pandemic that revolves around the circulation of anti-vaxxer fake news may hinder efforts to recover from the first one.  ...  Finally, in terms of framing, Arabic tweets adopt a health and safety perspective, while in English economic concerns dominate.  ...  ., 2019) , trained on the Media Frames Corpus (11k training news articles) by finetuning BERT to detect topic-agnostic media frames, achieving accuracy of 66.7% on the test set (1,138 news articles).  ... 
arXiv:2109.11372v1 fatcat:ljljdjbgqvcwvdhckmfzaweywe

Is it Fake? News Disinformation Detection on South African News Websites [article]

Harm de Wet, Vukosi Marivate
2021 arXiv   pre-print
Social media companies use NLP techniques to identify the fake news and warn their users, but fake news may still slip through undetected.  ...  It is especially a problem in more localised contexts (outside the United States of America). How do we adjust fake news detection systems to work better for local contexts such as in South Africa.  ...  ACKNOWLEDGEMENTS The authors would like to thank Media Monitoring Africa for their support. Further, we would like to thank the reviewers for their feedback and Tshephisho Sefara for proof reading.  ... 
arXiv:2108.02941v2 fatcat:q5sop6pq7rgwfkosdrkhq6dpbe

Online Social Deception and Its Countermeasures: A Survey

Zhen Guo, Jin-Hee Cho, Ing-Ray Chen, Srijan Sengupta, Michin Hong, Tanushree Mitra
2020 IEEE Access  
As a consequence, online social deception (OSD) in SNSs has emerged as a serious threat in cyberspace, particularly for users vulnerable to such cyberattacks.  ...  Therefore, it is critical to understand OSD and develop effective countermeasures against OSD for building trustworthy SNSs.  ...  To limit the spread of fake news, a sample of fake news with maximal utility was identified in [185] .  ... 
doi:10.1109/access.2020.3047337 fatcat:xw2rr2sjnrdf3nk4vfuowrkizy

False News On Social Media: A Data-Driven Survey [article]

Francesco Pierri, Stefano Ceri
2020 arXiv   pre-print
At the end of the survey, we highlight emerging approaches that look most promising for addressing false news.  ...  We use a data-driven approach, focusing on a classification of the features that are used in each study to characterize false information and on the datasets used for instructing classification methods  ...  for fake news detection.  ... 
arXiv:1902.07539v3 fatcat:nfdrmyadnvgozhdfciap3krowy

Online Social Deception and Its Countermeasures for Trustworthy Cyberspace: A Survey [article]

Zhen Guo, Jin-Hee Cho, Ing-Ray Chen, Srijan Sengupta, Michin Hong, Tanushree Mitra
2020 arXiv   pre-print
As a consequence, online social deception (OSD) in SNSs has emerged as a serious threat in cyberspace, particularly for users vulnerable to such cyberattacks.  ...  Therefore, it is critical to understand OSD and develop effective countermeasures against OSD for building a trustworthy SNSs.  ...  To limit the spread of fake news, a sample of fake news with maximal utility was identified in [144] .  ... 
arXiv:2004.07678v1 fatcat:k4a6siywefb6lhkmyn67lmoqwe
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