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      Social Media Political Communication and Misinformation: A Case Study of the Youth in Kiambu County, Kenya

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      African Journal of Empirical Research
      AJER Publishing

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          Abstract

          Social media in recent times has proven to be extremely persuasive in influencing the public’s opinion on political affairs. Since 2007, election campaigns have actively utilized several social media platforms in Kenya for communicating with, mobilizing, and organizing supporters. Politicians and political activists along with their parties make maximum use of it to interact and provide civic education to the public. However, few written materials are available on how Kenyan youth, particularly those who live in Kiambu County, use social media for political engagement. The objective of this research is therefore to explore patterns as well as practices characterizing social media use by young people in Kiambu County and how this affects their political involvement and discourse. This research is guided by Habermas’s Theory of the Public Sphere, which asserts that public political discourse that is free from government interference is important for creating functional democracies. Social media, which acts as a public sphere, can allow the youth to engage in political discussions and other civic activities. The research employs a descriptive research design, utilizing an online survey as the primary tool for data collection, administered via Survey Monkey. The research’s target population includes young people enrolled in institutions of higher learning in Kiambu County who use social media for communication. The sample size was determined based on the number of university students in Kiambu County. It utilized stratified random sampling on a target population of 115,330 to draw a sample of 380 youths using a Survey Monkey online sample calculator with a 95% confidence level and 5% margin of error. Initially, a pilot study was conducted on 10% of the sample, which is 38 respondents, to ascertain the reliability of the research instruments, eventually, from the 342 surveys sent out, 224 were completed and returned. For data analysis, Microsoft Excel was utilized in coding and organizing the data to create tables and graphs. The findings showed that X was the respondents' most used platform for political discourse. Most respondents were aware of and engaged in political discussions on social media, and believed that social media influenced their political attitudes and beliefs. Although most viewed social media as a source of civic education, they were skeptical about its reliability due to misinformation. The study concludes that many youths in Kiambu County are actively participating in political discussions online and therefore it recommends that better education should be provided to help the youth discern credible information from misinformation. Additionally, interventions should be established to curb digital crimes like cyberbullying and online fraud.

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          Most cited references26

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          The Agenda-Setting Function of Mass Media

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            How to get statistically significant effects in any ERP experiment (and why you shouldn't).

            ERP experiments generate massive datasets, often containing thousands of values for each participant, even after averaging. The richness of these datasets can be very useful in testing sophisticated hypotheses, but this richness also creates many opportunities to obtain effects that are statistically significant but do not reflect true differences among groups or conditions (bogus effects). The purpose of this paper is to demonstrate how common and seemingly innocuous methods for quantifying and analyzing ERP effects can lead to very high rates of significant but bogus effects, with the likelihood of obtaining at least one such bogus effect exceeding 50% in many experiments. We focus on two specific problems: using the grand-averaged data to select the time windows and electrode sites for quantifying component amplitudes and latencies, and using one or more multifactor statistical analyses. Reanalyses of prior data and simulations of typical experimental designs are used to show how these problems can greatly increase the likelihood of significant but bogus results. Several strategies are described for avoiding these problems and for increasing the likelihood that significant effects actually reflect true differences among groups or conditions.
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              Political Effects of the Internet and Social Media

              How do the Internet and social media affect political outcomes? We review empirical evidence from the recent political economy literature, focusing primarily on work that considers traits that distinguish the Internet and social media from traditional off-line media, such as low barriers to entry and reliance on user-generated content. We discuss the main results about the effects of the Internet in general, and social media in particular, on voting, street protests, attitudes toward government, political polarization, xenophobia, and politicians’ behavior. We also review evidence on the role of social media in the dissemination of fake news, and we summarize results about the strategies employed by autocratic regimes to censor the Internet and to use social media for surveillance and propaganda. We conclude by highlighting open questions about how the Internet and social media shape politics in democracies and autocracies.
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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                African Journal of Empirical Research
                AJERNET
                AJER Publishing
                2709-2607
                April 02 2024
                June 30 2024
                : 5
                : 2
                : 894-904
                Article
                10.51867/ajernet.5.2.78
                da133076-7dec-4183-b1d2-c60ce0a162d4
                © 2024

                https://creativecommons.org/licenses/by-nc/4.0

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