Abstract
This study examines the use of Twitter during humanitarian crises and its impact on public opinion. The study analyzed over 3262 tweets related to crisis, war, tragedy, violence, riot, uprising, revolt, destruction, bombing, migration, and refugees from February 2021 to February 2023 from International News Agencies. The study found that Twitter, reveals the fragmentation of news consumption patterns on social media, which are influenced by the sources of information followed and strengthened by the platforms’ algorithms. Furthermore, the study shows that news agencies’ coverage of humanitarian crises is detectably fragmented, and governments and related organizations have an impact on them and use them for various purposes. The study concludes by recommending future research to expand the analysis to other social media and news agencies, as well as incorporate more advanced techniques for handling misinformation and analyzing the impact of social media on public opinion.
Original language | English |
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Title of host publication | Information and Communication Technologies - 11th Ecuadorian Conference, TICEC 2023, Proceedings |
Editors | Jorge Maldonado-Mahauad, Jorge Herrera-Tapia, Jorge Luis Zambrano-Martínez, Santiago Berrezueta, Santiago Berrezueta |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 83-94 |
Number of pages | 12 |
ISBN (Print) | 9783031454370 |
DOIs | |
State | Published - 2023 |
Event | 11th Ecuadorian Congress of Information and Communication Technologies, TICEC 2023 - Cuenca, Ecuador Duration: 18 Oct 2023 → 20 Oct 2023 |
Publication series
Name | Communications in Computer and Information Science |
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Volume | 1885 CCIS |
ISSN (Print) | 1865-0929 |
ISSN (Electronic) | 1865-0937 |
Conference
Conference | 11th Ecuadorian Congress of Information and Communication Technologies, TICEC 2023 |
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Country/Territory | Ecuador |
City | Cuenca |
Period | 18/10/23 → 20/10/23 |
Bibliographical note
Publisher Copyright:© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Data Mining
- Humanitarian Crises
- News Agencies
- Python
- Tokenization