Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter

Adam: A Method for Stochastic Optimization

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Glove: Global Vectors for Word Representation

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Large-Scale Video Classification with Convolutional Neural Networks

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Liberals and conservatives rely on different sets of moral foundations.

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When Morality Opposes Justice: Conservatives Have Moral Intuitions that Liberals may not Recognize

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Linguistic Inquiry and Word Count (LIWC)

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Opinion observer

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Large-scale Video Classification with Convolutional Neural Networks

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News use across social media platforms 2016

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Learning extraction patterns for subjective expressions

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Automatic deception detection: Methods for finding fake news

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Twitter under crisis: can we trust what we RT?

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Effective Use of Word Order for Text Categorization with Convolutional Neural Networks

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Deception detection for news: Three types of fakes

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On Lying and Being Lied To: A Linguistic Analysis of Deception in Computer-Mediated Communication

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Syntactic Stylometry for Deception Detection

Feng, S., Banerjee, R., & Choi, Y. (2012) · Cited by 499 · see citing works

The lie detector

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Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes

Kumar, S., West, R., & Leskovec, J. (2016) · Proceedings of the 25th International Conference on World Wide Web · doi:10.1145/2872427.2883085 · Cited by 310 · cited 3× · see citing works

Linguistic Models for Analyzing and Detecting Biased Language

Recasens, M. V., Danescu-Niculescu-Mizil, C., & Jurafsky, D. (2013) · Cited by 294 · see citing works

Cues to deception and ability to detect lies as a function of police interview styles.

Vrij, A., Mann, S. A., Kristen, S., & Fisher, R. P. (2007) · Law and Human Behavior · doi:10.1007/s10979-006-9066-4 · Cited by 277 · see citing works

On Assertive Predicates

HOOPER, J. B. (1975) · BRILL eBooks · doi:10.1163/9789004368828_005 · Cited by 218 · see citing works

Combining multiple sources of knowledge in deep CNNs for action recognition

Park, E., Han, X., Berg, T. L., & Berg, A. C. (2016) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv.2016.7477589 · Cited by 167 · see citing works

Experiments in open domain deception detection

Pérez-Rosas, V., & Mihalcea, R. (2015) · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d15-1133 · Cited by 97 · see citing works

#bias: Measuring the Tweeting Behavior of Propagandists

Lumezanu, C., Feamster, N., & Klein, H. K. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v6i1.14247 · Cited by 59 · see citing works

A survey on fake news and rumour detection techniques

Bondielli, A., & Marcelloni, F. (2019) · Information Sciences · doi:10.1016/j.ins.2019.05.035 · Cited by 658 · see citing works

Combating Fake News: A Survey on Identification and Mitigation Techniques

Sharma, K., Qian, F., Jiang, H., Ruchansky, N., Zhang, M., & Liu, Y. (2019) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3305260 · Cited by 514 · see citing works

Multimodal fake news detection via progressive fusion networks

Jing, J., Wu, H., Sun, J., Fang, X., & Zhang, H. (2023) · Information Processing & Management · doi:10.1016/j.ipm.2022.103120 · Cited by 243 · see citing works

Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation

Kim, J., Tabibian, B., Oh, A., Schölkopf, B., & Gomez-Rodriguez, M. (2018) · Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining · doi:10.1145/3159652.3159734 · Cited by 230 · see citing works

Fake News Detection in Social Networks via Crowd Signals

Tschiatschek, S., Singla, A., Gomez Rodriguez, M., Merchant, A., & Krause, A. (2018) · Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18 · doi:10.1145/3184558.3188722 · Cited by 229 · see citing works

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 · see citing works

Automating fake news detection system using multi-level voting model

Kaur, S., Kumar, P., & Kumaraguru, P. (2020) · Soft Computing · doi:10.1007/s00500-019-04436-y · Cited by 190 · see citing works

The limitations of stylometry for detecting machine-generated fake news

Schuster, T., Schuster, R., Shah, D. J., & Barzilay, R. (2020) · Computational Linguistics · doi:10.1162/coli_a_00380 · Cited by 109 · see citing works

The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans

Zannettou, S., Sirivianos, M., Blackburn, J., & Kourtellis, N. (2019) · Journal of Data and Information Quality · doi:10.1145/3309699 · Cited by 86 · see citing works

A Reasoning and Value Alignment Test to Assess Advanced GPT Reasoning

Mcintosh, T. R., Liu, T., Susnjak, T., Watters, P., & Halgamuge, M. N. (2024) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3670691 · Cited by 42 · see citing works

Morality classification in natural language text

Pavan, M. C., dos Santos, V. G., Lan, A. G. J., Martins, J. T., dos Santos, W. R., Deutsch, C., da Costa, P. B., Hsieh, F. C., & Paraboni, I. (2023) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2020.3034050 · Cited by 30 · see citing works

A Reliable Weighting Scheme for the Aggregation of Crowd Intelligence to Detect Fake News

Tchakounté, F., Faissal, A., Atemkeng, M., & Ntyam, A. (2020) · Information · doi:10.3390/info11060319 · Cited by 23 · see citing works

ANTI HOAX CAMPAIGN: RESEARCH BASED

Tania, L., Marindra, G., Melissa, M., et al. (2018) · MANASA · Cited by 3 · see citing works

Becoming a hoax buster in WhatsApp groups as an effort to limit the dissemination of misleading health information

Suminar, J. R., & Hadisiwi, P. (2021) · Jurnal Studi Komunikasi (Indonesian Journal of Communications Studies) · doi:10.25139/jsk.v5i1.2408 · Cited by 5 · see citing works

Early investigation of proposed hoax detection for decreasing hoax in social media

Santoso, I., Yohansen, I., Nealson, et al. (2017) · IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom) · doi:10.1109/cyberneticscom.2017.8311705 · Cited by 11 · see citing works

The Dangers of Hoax News from the Perspective of the Qur'anPreprint

f, M. Z. (2022) · doi:10.31219/osf.io/73wu8

Review Study of Hoax Email Characteristic

Yuliani, S., Sahib, S., Abdollah, M. F., Al‐Mhiqani, M. N., & Atmadja, A. R. (2018) · International Journal of Engineering & Technology · doi:10.14419/ijet.v7i3.2.18754 · Cited by 12 · see citing works