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• What’s the matter? A text mining analysis of political topics and user engagement on politicians’ Facebook pages during the 2018 Hungarian general election campaign

  94-123.

  Bene Marton

  Views:

  16

  The research investigates the way users interact with leading topics of the 2018 Hungarian
  general election campaign on candidates’ Facebook pages. It expects that the prominent
  (immigration, corruption) and campaign-related topics generate more user engagement, while
  policy topics and mobilization content are less interacted. It also tests the theory of issue ownership
  in relation with user engagement. These expectations are tested on a dataset that includes all
  posts (38030 posts) posted by all candidates during the campaign (511 candidates). Topics
  are identified by text mining methods. The study demonstrates that corruption, development
  policy and campaign are highly engaged topics, while immigration was more interacted only on
  opposition politicians’ pages since the followers of pro-government candidates engage less with
  immigration-related content. The most surprising result is that a reversed issue ownership effect
  can be detected since politicians are generally less successful with their own topics.

• Empirical analysis of the judgment of unconditional basic income through YouTube comments

  68-93.

  Olah Eszter

  Views:

  20

  One of the world’s largest video-sharing platforms is YouTube, where viewers can comment on
  the videos and their topics. The aim of this study is to examine the values and opinions about
  unconditional basic income according to the comment sections of several Youtube’s videos which
  topic is the previously mentioned UBI which is receiving increasing attention in parallel with
  today’s economic and social changes. Our research works with a mixed method, data collection,
  storage, sentiment analysis and the bag of words method which were implemented using IT
  procedures, while categorization was done through manual coding. The results of the sentiment
  analysis show that positive arguments appear to a lesser extent in the comments. Positive
  arguments have value characteristics such as inclusion, the principle of the right to exist, justice
  and freedom. Among the positive arguments feasibility enjoys the highest support. Negative
  category values arise more frequently, so the emphasis on the values of injustice, exclusion,
  unaffordability, and performance-orientation is dominant in the analyzed comments.