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- research-articleMay 2024
Exploring Advanced Neural Networks For Cross-Corpus Fake News Detection
- Manya Girdhar,
- Sunil K. Singh,
- Sudhakar Kumar,
- Deepak Mahto,
- Sunil K Sharma,
- Brij B. Gupta,
- Varsha Arya,
- Kwok Tai Chui
ICIMMI '23: Proceedings of the 5th International Conference on Information Management & Machine IntelligenceNovember 2023, Article No.: 153, Pages 1–6https://doi.org/10.1145/3647444.3652457The rapid dissemination of information has become commonplace in our contemporary world, characterized by the widespread use of the internet and social media. Whether it pertains to momentous victories in cricket matches or the joyous news of a newborn, ...
- research-articleFebruary 2022
Exposing Vulnerabilities of Deepfake Detection Systems with Robust Attacks
- Shehzeen Hussain,
- Paarth Neekhara,
- Brian Dolhansky,
- Joanna Bitton,
- Cristian Canton Ferrer,
- Julian McAuley,
- Farinaz Koushanfar
Digital Threats: Research and Practice (DTRAP), Volume 3, Issue 3Article No.: 30, Pages 1–23https://doi.org/10.1145/3464307 - surveySeptember 2020
A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities
ACM Computing Surveys (CSUR), Volume 53, Issue 5Article No.: 109, Pages 1–40https://doi.org/10.1145/3395046The explosive growth in fake news and its erosion to democracy, justice, and public trust has increased the demand for fake news detection and intervention. This survey reviews and evaluates methods that can detect fake news from four perspectives: the ...
- research-articleJune 2020
Fake News Early Detection: A Theory-driven Model
Digital Threats: Research and Practice (DTRAP), Volume 1, Issue 2Article No.: 12, Pages 1–25https://doi.org/10.1145/3377478Massive dissemination of fake news and its potential to erode democracy has increased the demand for accurate fake news detection. Recent advancements in this area have proposed novel techniques that aim to detect fake news by exploring how it ...
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- tutorialJuly 2019
Fake News Research: Theories, Detection Strategies, and Open Problems
KDD '19: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data MiningJuly 2019, Pages 3207–3208https://doi.org/10.1145/3292500.3332287Fake news has become a global phenomenon due its explosive growth, particularly on social media. The goal of this tutorial is to (1) clearly introduce the concept and characteristics of fake news and how it can be formally differentiated from other ...
- tutorialJanuary 2019
Fake News: Fundamental Theories, Detection Strategies and Challenges
WSDM '19: Proceedings of the Twelfth ACM International Conference on Web Search and Data MiningJanuary 2019, Pages 836–837https://doi.org/10.1145/3289600.3291382The explosive growth of fake news and its erosion to democracy, justice, and public trust increased the demand for fake news detection. As an interdisciplinary topic, the study of fake news encourages a concerted effort of experts in computer and ...
- research-articleApril 2016
- short-paperNovember 2015
Misleading Online Content: Recognizing Clickbait as "False News"
WMDD '15: Proceedings of the 2015 ACM on Workshop on Multimodal Deception DetectionNovember 2015, Pages 15–19https://doi.org/10.1145/2823465.2823467Tabloid journalism is often criticized for its propensity for exaggeration, sensationalization, scare-mongering, and otherwise producing misleading and low quality news. As the news has moved online, a new form of tabloidization has emerged: ?...
- research-articleNovember 2015
Deception detection for news: three types of fakes
ASIST '15: Proceedings of the 78th ASIS&T Annual Meeting: Information Science with Impact: Research in and for the CommunityNovember 2015, Article No.: 83, Pages 1–4A fake news detection system aims to assist users in detecting and filtering out varieties of potentially deceptive news. The prediction of the chances that a particular news item is intentionally deceptive is based on the analysis of previously seen ...
- research-articleNovember 2015
Automatic deception detection: methods for finding fake news
ASIST '15: Proceedings of the 78th ASIS&T Annual Meeting: Information Science with Impact: Research in and for the CommunityNovember 2015, Article No.: 82, Pages 1–4This research surveys the current state-of-the-art technologies that are instrumental in the adoption and development of fake news detection. "Fake news detection" is defined as the task of categorizing news along a continuum of veracity, with an ...
- research-articleNovember 2015
News in an online world: the need for an "automatic crap detector"
ASIST '15: Proceedings of the 78th ASIS&T Annual Meeting: Information Science with Impact: Research in and for the CommunityNovember 2015, Article No.: 81, Pages 1–4Widespread adoption of internet technologies has changed the way that news is created and consumed. The current online news environment is one that incentivizes speed and spectacle in reporting, at the cost of fact-checking and verification. The line ...
