Built on

Jamieson, K.H., Cappella, J.N.: Echo chamber: Rush Limbaugh and the conservative media establishment. Oxford University Press (2008)
2008
Earlier work this paper cites.
Castillo, C., Mendoza, M., Poblete, B.: Information credibility on twitter. In: The World Wide Web Conference. pp. 675–684. ACM (2011)
2011
Earlier work this paper cites.
Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)
Original
2013
Earlier work this paper cites.
Kim, Y.: Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882 (2014)
Original
2014
Earlier work this paper cites.
Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)
Original
2014
Earlier work this paper cites.
Pennebaker, J.W., Boyd, R.L., Jordan, K., Blackburn, K.: The development and psychometric properties of LIWC2015. Tech. rep. (2015)
2015
Earlier work this paper cites.
Rubin, V.L., Lukoianova, T.: Truth and deception at the rhetorical structure level. Journal of the Association for Information Science and Technology 66
2015
Earlier work this paper cites.
Vinyals, O., Toshev, A., Bengio, S., Erhan, D.: Show and tell: Lessons learned from the 2015 mscoco image captioning challenge. IEEE Transactions on Pattern Analysis and Machine Intelligence 39
2016
Earlier work this paper cites.
Jin, Z., Cao, J., Guo, H., Zhang, Y., Luo, J.: Multimodal fusion with recurrent neural networks for rumor detection on microblogs. In: Proceedings of the 2017 ACM on Multimedia Conference. pp. 795–816. ACM (2017)
2017
Earlier work this paper cites.

Similar

Jin, Z., Cao, J., Zhang, Y., Zhou, J., Tian, Q.: Novel visual and statistical image features for microblogs news verification. IEEE Transactions on Multimedia 19
2017
Cited alongside, same era.
Pérez-Rosas, V., Kleinberg, B., Lefevre, A., Mihalcea, R.: Automatic detection of fake news. arXiv preprint arXiv:1708.07104 (2017)
Original
2017
Cited alongside, same era.
Potthast, M., Kiesel, J., Reinartz, K., Bevendorff, J., Stein, B.: A stylometric inquiry into hyperpartisan and fake news. arXiv preprint arXiv:1702.05638 (2017)
Original
2017
Cited alongside, same era.
Ruchansky, N., Seo, S., Liu, Y.: Csi: A hybrid deep model for fake news detection. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. pp. 797–806. ACM (2017)
2017
Cited alongside, same era.
Wang, W.Y.: “liar, liar pants on fire”: A new benchmark dataset for fake news detection. arXiv preprint arXiv:1705.00648 (2017)

Then

Yang, Y., Zheng, L., Zhang, J., Cui, Q., Li, Z., Yu, P.S.: Ti-cnn: Convolutional neural networks for fake news detection. arXiv preprint arXiv:1806.00749 (2018)
Original
2018
Later among the works it cites.
Zhou, X., Zafarani, R.: Fake news: A survey of research, detection methods, and opportunities. arXiv preprint arXiv:1812.00315 (2018)
Original
2018
Later among the works it cites.
Horne, B.D., Nørregaard, J., Adalı, S.: Different Spirals of Sameness: A Study of Content Sharing in Mainstream and Alternative Media. In: Proceedings of the International AAAI Conference on Web and Social Media. vol. 13, pp. 257–266 (2019)
2019
Later among the works it cites.
Karimi, H., Tang, J.: Learning hierarchical discourse-level structure for fake news detection. arXiv preprint arXiv:1903.07389 (2019)
Original
2019
Later among the works it cites.

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2020

SAFE: Similarity-Aware Multi-Modal Fake News Detection

Zhou, Xinyi, Wu, Jindi, Zafarani, Reza

Understand

Effective detection of fake news has recently attracted significant attention.

Current studies have made significant contributions to predicting fake news with less focus on exploiting the relationship (similarity) between the textual and visual information in news articles.
Attaching importance to such similarity helps identify fake news stories that, for example, attempt to use irrelevant images to attract readers' attention.
In this work, we propose a $\mathsf{S}$imilarity-$\mathsf{A}$ware $\mathsf{F}$ak$\mathsf{E}$ news detection method ($\mathsf{SAFE}$) which investigates multi-modal (textual and visual) information of news articles.

Built on

Jamieson, K.H., Cappella, J.N.: Echo chamber: Rush Limbaugh and the conservative media establishment. Oxford University Press (2008)
2008
Earlier work this paper cites.
Castillo, C., Mendoza, M., Poblete, B.: Information credibility on twitter. In: The World Wide Web Conference. pp. 675–684. ACM (2011)
2011
Earlier work this paper cites.
Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)
Original
2013
Earlier work this paper cites.
Kim, Y.: Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882 (2014)
Original
2014
Earlier work this paper cites.
Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)
Original
2014
Earlier work this paper cites.
Pennebaker, J.W., Boyd, R.L., Jordan, K., Blackburn, K.: The development and psychometric properties of LIWC2015. Tech. rep. (2015)
2015
Earlier work this paper cites.
Rubin, V.L., Lukoianova, T.: Truth and deception at the rhetorical structure level. Journal of the Association for Information Science and Technology 66
2015
Earlier work this paper cites.
Vinyals, O., Toshev, A., Bengio, S., Erhan, D.: Show and tell: Lessons learned from the 2015 mscoco image captioning challenge. IEEE Transactions on Pattern Analysis and Machine Intelligence 39
2016
Earlier work this paper cites.
Jin, Z., Cao, J., Guo, H., Zhang, Y., Luo, J.: Multimodal fusion with recurrent neural networks for rumor detection on microblogs. In: Proceedings of the 2017 ACM on Multimedia Conference. pp. 795–816. ACM (2017)
2017
Earlier work this paper cites.

Similar

Jin, Z., Cao, J., Zhang, Y., Zhou, J., Tian, Q.: Novel visual and statistical image features for microblogs news verification. IEEE Transactions on Multimedia 19
2017
Cited alongside, same era.
Pérez-Rosas, V., Kleinberg, B., Lefevre, A., Mihalcea, R.: Automatic detection of fake news. arXiv preprint arXiv:1708.07104 (2017)
Original
2017
Cited alongside, same era.
Potthast, M., Kiesel, J., Reinartz, K., Bevendorff, J., Stein, B.: A stylometric inquiry into hyperpartisan and fake news. arXiv preprint arXiv:1702.05638 (2017)
Original
2017
Cited alongside, same era.
Ruchansky, N., Seo, S., Liu, Y.: Csi: A hybrid deep model for fake news detection. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. pp. 797–806. ACM (2017)
2017
Cited alongside, same era.
Wang, W.Y.: “liar, liar pants on fire”: A new benchmark dataset for fake news detection. arXiv preprint arXiv:1705.00648 (2017)

Then

Yang, Y., Zheng, L., Zhang, J., Cui, Q., Li, Z., Yu, P.S.: Ti-cnn: Convolutional neural networks for fake news detection. arXiv preprint arXiv:1806.00749 (2018)
Original
2018
Later among the works it cites.
Zhou, X., Zafarani, R.: Fake news: A survey of research, detection methods, and opportunities. arXiv preprint arXiv:1812.00315 (2018)
Original
2018
Later among the works it cites.
Horne, B.D., Nørregaard, J., Adalı, S.: Different Spirals of Sameness: A Study of Content Sharing in Mainstream and Alternative Media. In: Proceedings of the International AAAI Conference on Web and Social Media. vol. 13, pp. 257–266 (2019)
2019
Later among the works it cites.
Karimi, H., Tang, J.: Learning hierarchical discourse-level structure for fake news detection. arXiv preprint arXiv:1903.07389 (2019)
Original
2019
Later among the works it cites.

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…

Original

2017

Cited alongside, same era.

Qian, F., Gong, C., Sharma, K., Liu, Y.: Neural User Response Generator: Fake News Detection with Collective User Intelligence. In: IJCAI. pp. 3834–3840 (2018)

2018

Cited alongside, same era.

Shu, K., Mahudeswaran, D., Wang, S., Lee, D., Liu, H.: Fakenewsnet: A data repository with news content, social context and dynamic information for studying fake news on social media. arXiv preprint arXiv:1809.01286 (2018)

Original

2018

Cited alongside, same era.

Vosoughi, S., Roy, D., Aral, S.: The spread of true and false news online. Science 359

2018

Cited alongside, same era.

Wang, Y., Ma, F., Jin, Z., Yuan, Y., Xun, G., Jha, K., Su, L., Gao, J.: EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. pp. 849–857. ACM (2018)

2018

Cited alongside, same era.

Khattar, D., Goud, J.S., Gupta, M., Varma, V.: MVAE: Multimodal Variational Autoencoder for Fake News Detection. In: WWW. pp. 2915–2921. ACM (2019)

2019