Twitter and research: A systematic literature review through text mining

A Karami, M Lundy, F Webb, YK Dwivedi - IEEE access, 2020 - ieeexplore.ieee.org
Researchers have collected Twitter data to study a wide range of topics. This growing body
of literature, however, has not yet been reviewed systematically to synthesize Twitter-related …

Combating disinformation in a social media age

K Shu, A Bhattacharjee, F Alatawi… - … : Data Mining and …, 2020 - Wiley Online Library
The creation, dissemination, and consumption of disinformation and fabricated content on
social media is a growing concern, especially with the ease of access to such sources, and …

Misinformation in social media: definition, manipulation, and detection

L Wu, F Morstatter, KM Carley, H Liu - ACM SIGKDD explorations …, 2019 - dl.acm.org
The widespread dissemination of misinformation in social media has recently received a lot
of attention in academia. While the problem of misinformation in social media has been …

The paradigm-shift of social spambots: Evidence, theories, and tools for the arms race

S Cresci, R Di Pietro, M Petrocchi… - Proceedings of the 26th …, 2017 - dl.acm.org
Recent studies in social media spam and automation provide anecdotal argumentation of
the rise of a new generation of spambots, so-called social spambots. Here, for the first time …

Fame for sale: Efficient detection of fake Twitter followers

S Cresci, R Di Pietro, M Petrocchi, A Spognardi… - Decision Support …, 2015 - Elsevier
Fake followers are those Twitter accounts specifically created to inflate the number of
followers of a target account. Fake followers are dangerous for the social platform and …

Rtbust: Exploiting temporal patterns for botnet detection on twitter

M Mazza, S Cresci, M Avvenuti… - Proceedings of the 10th …, 2019 - dl.acm.org
Within OSNs, many of our supposedly online friends may instead be fake accounts called
social bots, part of large groups that purposely re-share targeted content. Here, we study …

A new approach to bot detection: striking the balance between precision and recall

F Morstatter, L Wu, TH Nazer… - 2016 IEEE/ACM …, 2016 - ieeexplore.ieee.org
The presence of bots has been felt in many aspects of social media. Twitter, one example of
social media, has especially felt the impact, with bots accounting for a large portion of its …

Tampering with Twitter's sample API

J Pfeffer, K Mayer, F Morstatter - EPJ Data Science, 2018 - epjds.epj.org
Social media data is widely analyzed in computational social science. Twitter, one of the
largest social media platforms, is used for research, journalism, business, and government …

Malicious accounts: Dark of the social networks

KS Adewole, NB Anuar, A Kamsin, KD Varathan… - Journal of Network and …, 2017 - Elsevier
Over the last few years, online social networks (OSNs), such as Facebook, Twitter and
Tuenti, have experienced exponential growth in both profile registrations and social …

Cashtag piggybacking: Uncovering spam and bot activity in stock microblogs on Twitter

S Cresci, F Lillo, D Regoli, S Tardelli… - ACM Transactions on the …, 2019 - dl.acm.org
Microblogs are increasingly exploited for predicting prices and traded volumes of stocks in
financial markets. However, it has been demonstrated that much of the content shared in …