Identifying relevant literature and effectively analyzing its content are key to presenting an evidence-based discussion (Hansen & Machin, 2018). Critically evaluating research helps to understand the strengths and limitations of research and thus guides the conduct of effective analysis. This essay will discuss the article “Dynamics of message selection in online political discussion forums: self-discrimination or diversity exposure?” by Song et al. (2020). This essay will also highlight the research method undertaken by the authors and point out its strengths and weaknesses and suggest further improvements with an evidence-based approach. The research hypotheses and research questions of the study were clearly stated in the paper. Ideology plays an important role in the process of communication and the formation of social groups. Research aimed at assessing personal motivation can help understand message choice in online discussions of political topics. Having a clear and specific goal is important for research as it helps to identify key research elements for the reader. The dynamics of message selection are very precise and should be discussed in detail as there are growing concerns that Internet algorithms could spur the development of natural echo chambers, the researchers say. enhanced for consumers. Two main principles were emphasized in the study of Song et al. (2020), including consistency and understanding of key motivators.
The paper’s research question is to assess how consistent and accurate motivation is affected by message selection patterns in an online discussion forum. In addition, the study is supported by several assumptions that help infer the behavioral characteristics of the participants in online discussions. Having a systematic hypothesis is important and included in research because it helps to connect the underlying theory to a particular research question. This can help assess the reliability and validity of research and improve research quality (Berger, 2018).
Research data were collected retrospectively from an online discussion forum during the 2012 Korean presidential election from November 23, 2012 to December 19, 2012. Data were collected from 371 people. participants have joined online discussion forums. Non-probability sampling method was used in the study performed to ensure replication of the Korean population in the study sample. This approach is appropriate because it allows for a larger sample of diversity (Boyle & Schmierbach, 2019). Data collection is also done through surveys and the data is systematically recorded for analysis. Analysis The temporal exponential stochastic model (TERGM) was used to evaluate the data. The use of analytical tools such as TERGM allows for a systematic review of collected data and helps to reduce research bias towards systematic study results.
The conclusions of this study are very relevant and meaningful. The study affirms that although the literature focuses on the development of online feedback rooms in discussion forums via Internet algorithms, it is not uncommon for individuals to reinforce themselves in conversations. Discuss their personal preferences. Thus, this study provides new insights and helps identify the motives for specific responses in political discourse and online interactions.
A shared activity and a shared common effect were identified in the study. The results show that homophony is the main factor determining the choice of message. This study is needed due to many factors. First, it helps to understand the motivations of individuals in choosing the political topics of conversations and discussions. In addition, through this study, the notion that echo chambers were imposed by the Internet and online forums was broken. It shows that actions can be self-imposed by the participants. As a result, coherence and intelligibility emerge as key themes that structure individuals’ decisions about participating in online discussion forums.
The main strength of this study lies in the powerful analytical methods that can help decipher the systematic findings through data review. This improves the reliability of research results and promotes the robustness of convincing evidence. In addition, the use of a representative sample that includes many different individuals representing the population makes it possible to have an overall view of the population. The small sample size of the study of only 371 participants could be considered a weakness. Therefore, using the main study sample with a larger sample size can improve the study results.
Therefore, it can be concluded that the study provides insights into the motivations of online political discussions and helps to identify the behavioral and structural factors associated with them.
Berger, A. A. (2018). Media and communication research methods: An introduction to qualitative and quantitative approaches. Sage Publications. https://books.google.com/books?hl=en&lr=&id=6CFoDwAAQBAJ&oi=fnd&pg=PP1&dq=communication+research+methods+book&ots=A0fHDFWHWb&sig=76ZcqlRS2MYV611kr8xrTzt3fns
Boyle, M. P., & Schmierbach, M. (2019). Applied communication research methods: Getting started as a researcher. Routledge. https://www.taylorfrancis.com/books/mono/10.4324/9780429296444/applied-communication-research-methods-michael-boyle-mike-schmierbach
Hansen, A., & Machin, D. (2018). Media and communication research methods. Bloomsbury Publishing. https://books.google.com/books?hl=en&lr=&id=XRxHEAAAQBAJ&oi=fnd&pg=PR1&dq=communication+research+methods+book&ots=jZf4GMJr6n&sig=LTk3zfo9Wug_J40n4eyqBXfI1hQ
Song, H., Cho, J., & Benefield, G. A. (2020). The dynamics of message selection in online political discussion forums: self-segregation or diverse exposure?. Communication Research, 47(1), 125-152. https://journals.sagepub.com/doi/abs/10.1177/0093650218790144
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