What Online Reviewer Behaviors Really Matter? Effects of Verbal and Nonverbal Behaviors on Detection of Fake Online Reviews

By Dongsong Zhang, Lina Zhou, Juan Luo Kehoe, Isil Yakut. Journal of Management Information Systems, 2016

297 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/2f57002ab99d1bac7dd2fccd04ceb1fc341b250c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Nripendra P. Rana
2. Pushp P. Patil
3. Kuttimani Tamilmani
4. Yogesh Kumar Dwivedi
5. Reza Zafarani
6. Sridhar P. Nerur
7. Kawal Kapoor
8. Xinyi Zhou

In Information Systems

1. Nripendra P. Rana
2. Yogesh Kumar Dwivedi
3. Kuttimani Tamilmani
4. Reza Zafarani
5. Sridhar P. Nerur
6. Pushp P. Patil
7. Kawal Kapoor
8. Xinyi Zhou

In Sociology and Political Science

1. Nripendra P. Rana
2. Kuttimani Tamilmani
3. Yogesh Kumar Dwivedi
4. Pushp P. Patil
5. Reza Zafarani
6. Xinyi Zhou
7. Ali Abdallah Alalwan
8. Samuel Fosso Wamba

Citations in the corpus

• Fake News: A Survey of Research, Detection Methods, and Opportunities (2018, background): “mation, e.g., online communications [Hancock et al. 2007;Pak and Zhou2015;Rubin2010;Zhou et al. 2004b], reviews [Li et al. 2014; Mukherjee et al. 2013b;Ott et al. 2011;Popoola2018;Shojaee et al. 2013;Zhang et al. 2016], statements [Fuller et al. 2009; Humpherys et al. 2011], essays and short text [A”
• Advances in Social Media Research: Past, Present and Future (2017, background): “They focus on combating issues of privacy and security, whilst trying to differentiate between fake and authentic online content (for instance, Zhang et al. 2016).”