The disaster of misinformation: a review of research in social media

S Muhammed T, SK Mathew - International journal of data science and …, 2022 - Springer
The spread of misinformation in social media has become a severe threat to public interests.
For example, several incidents of public health concerns arose out of social media …

Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities

P Meel, DK Vishwakarma - Expert Systems with Applications, 2020 - Elsevier
Internet and social media have become a widespread, large scale and easy to use platform
for real-time information dissemination. It has become an open stage for discussion …

A confirmation bias view on social media induced polarisation during Covid-19

S Modgil, RK Singh, S Gupta, D Dennehy - Information Systems Frontiers, 2024 - Springer
Social media has played a pivotal role in polarising views on politics, climate change, and
more recently, the Covid-19 pandemic. Social media induced polarisation (SMIP) poses …

[HTML][HTML] Opening organizational learning in crisis management: On the affordances of social media

K Eismann, O Posegga, K Fischbach - The Journal of Strategic Information …, 2021 - Elsevier
Research on the role of social media in crisis management has led to a deeper
understanding of their affordances. This research, however, is fragmented, with a primary …

Source detection of rumor in social network–a review

S Shelke, V Attar - Online Social Networks and Media, 2019 - Elsevier
The ubiquity of handheld devices provides straightforward access to the Internet and Social
networking. The quick and easy updates from social networks help users in many situations …

Rumor source localization in social networks based on infection potential energy

W Li, C Guo, Y Liu, X Zhou, Q Jin, M Xin - Information Sciences, 2023 - Elsevier
The location technology of information sources in social networks is a major factor in
exploring the means of information propagation. In this context, most existing methods …

A hybrid approach of machine learning and lexicons to sentiment analysis: enhanced insights from twitter data of natural disasters

S Mendon, P Dutta, A Behl, S Lessmann - Information Systems Frontiers, 2021 - Springer
The success factor of sentimental analysis lies in identifying the most occurring and relevant
opinions among users relating to the particular topic. In this paper, we develop a framework …

Attention-based LSTM network for rumor veracity estimation of tweets

JP Singh, A Kumar, NP Rana, YK Dwivedi - Information Systems Frontiers, 2022 - Springer
Twitter has become a fertile place for rumors, as information can spread to a large number of
people immediately. Rumors can mislead public opinion, weaken social order, decrease the …

Detecting rumors on social media based on a CNN deep learning technique

A Alsaeedi, M Al-Sarem - Arabian Journal for Science and Engineering, 2020 - Springer
Currently, it is easy to create content and share it via social media platforms such as Twitter,
Facebook, and Sina Weibo. However, some problems can occur when the shared content …

Research synthesis and thematic analysis of twitter through bibliometric analysis

S Noor, Y Guo, SHH Shah, MS Nawaz… - International Journal on …, 2020 - igi-global.com
In literature, there is a shortage of comprehensive documents that can provide proper details
about Twitter in research community. This study conducted a first descriptive bibliometric …