News Content Analysis of Special Events from Facebook and Twitter: The Case of Ethiopia Radio (FM 93.1) Prime Time News

dc.contributor.advisorElias Worku
dc.contributor.authorDereje Shitaw
dc.date.accessioned2024-08-29T08:44:32Z
dc.date.available2024-08-29T08:44:32Z
dc.date.issued2024-04
dc.description.abstractThis study examined a news content analysis of special events from Facebook and Twitter: the case of Ethiopia radio prime-time news. To achieve this objective, the researcher used both qualitative and quantitative descriptive research designs. The researcher used questionnaires and relevant documents to collect primary and secondary data from the data sources. The study emphasized issue categories and news sources related to special events. It also analyzed how journalists reported special event news. Social responsibility, gate-keeping theory, and event system theory were applied in this study. The study used content analysis, in-depth interview, and document analysis. Three basic research questions were raised to guide the study, and scholarly articles related to the issues were discussed. In addition, the radio station also took all special event news from government officials and institutions Facebook and Twitter pages. The issues for which Facebook and Twitter were most commonly sourced by the radio station included politics, infrastructure, the economy, social issues, culture and tourism, and entertainment. Thus, Ethiopian radio should cover a wide variety of subject categories, report accurate and comprehensive special event news stories, and present all viewpoints from all recognized special event news sources without any jealousy. Key Words: Special event, Official, Institution, Social media, Facebook, Twitter.
dc.identifier.urihttps://etd.aau.edu.et/handle/123456789/3443
dc.language.isoEnglish
dc.publisherAddis Ababa University
dc.subjectSpecial event Official Institution
dc.titleNews Content Analysis of Special Events from Facebook and Twitter: The Case of Ethiopia Radio (FM 93.1) Prime Time News
dc.typeThesis

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Dereje_Shitaw_2024_ETD.pdf
Size:
5.36 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description: