Machine learning techniques for hate speech classification of twitter data: State-of-the-art, future challenges and research directions

FE Ayo, O Folorunso, FT Ibharalu, IA Osinuga - Computer Science Review, 2020 - Elsevier
Twitter is a microblogging tool that allow the creation of big data through short digital
contents. This study provides a survey of machine learning techniques for hate speech …

Does a crisis change news habits? A comparative study of the effects of COVID-19 on news media use in 17 European countries

P Van Aelst, F Toth, L Castro, V Štětka, C Vreese… - Digital …, 2021 - Taylor & Francis
Exogenous shocks like the COVID-19 pandemic unleashes multiple fundamental questions
about society beyond public health. Based on the classical concept of 'need for …

Crisis informatics in the context of social media crisis communication: Theoretical models, taxonomy, and open issues

UA Bukar, MA Jabar, F Sidi, RNHB Nor… - IEEE …, 2020 - ieeexplore.ieee.org
The involvement application and use of crisis and emergency management and
communication are increasing rapidly. This study conducts a systematic literature review to …

A probabilistic clustering model for hate speech classification in twitter

FE Ayo, O Folorunso, FT Ibharalu, IA Osinuga… - Expert Systems with …, 2021 - Elsevier
The key challenges for automatic hate-speech classification in Twitter are the lack of generic
architecture, imprecision, threshold settings and fragmentation issues. Most studies used …

The social-mediated crisis communication research: Revisiting dialogue between organizations and publics in crises of China

Y Cheng - Public relations review, 2020 - Elsevier
The rapid diffusion of social media is ushering in a new era of crisis communication. To
enhance our understanding of the social-mediated dialogue between organizations and …

How can post-disaster recovery plans be improved based on historical learning? a comparison of Wenchuan earthquake and Lushan earthquake recovery plans

L He, Z Xie, Y Peng, Y Song, S Dai - Sustainability, 2019 - mdpi.com
Despite the emphasis on sustainability in post-disaster recovery plans (PDRPs), few studies
have been conducted to investigate the information conveyed in disaster recovery plans in …

Use of Modern Communication Technologies during Earthquakes: How to Increase the Efficiency of Macroseismic Data Collection

OF Lukhneva, YB Radziminovich… - … and Oceanic Physics, 2023 - Springer
Currently, macroseismic data are mostly obtained through online questionnaires posted on
the websites of regional and international seismological agencies. Generally, strong …

Comparative Analysis and Assesment on Different Hate Speech Detection Learning Techniques

D Yadav, MK Sain - Journal of Algebraic Statistics, 2023 - publishoa.com
Increased social networking services have modified the way and scale of cyberspace
communication. Even so, owing to the anonymity and mobility of these services, the no. of …

Gender and presence of children: Examining media uses, informational needs, and source preferences during the Flint, Michigan, water crisis

AM Day, S O'Shay-Wallace, MW Seeger… - … of International Crisis …, 2020 - search.informit.org
In 2014, a water crisis emerged in Flint, Michigan. Using uses and gratifications theory as
the guiding framework, this study examines if crisis-related media uses, informational needs …

Review of State‐of‐Art Techniques for Political Polarization from Social Media Network

A Bhatnagar, BK Sharma - Deep Learning Techniques for …, 2024 - Wiley Online Library
The nature and scope of online communication have changed as a result of more social
networking platforms. The social network has drawn a lot of attention in the last 10 years …