Voting intentions on social media and political opinion polls

Pekar, Viktor; Najafi, Hossein; Binner, Jane M.; Swanson, Riley; Rickard, Charles; Fry, John

doi:10.1016/j.giq.2021.101658

Cited by 8 publications

(3 citation statements)

References 76 publications

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“…In the present case study, full-text academic articles were used (and we showed how multiple authorship could be handled). Yet, the methods can target any types of texts, be they posts on social media, blogs, letters, reports, (including textual transcriptions of audio content), but also surveys, voting intentions (Pekar et al, 2022), or e-petitioning (Harrison et al, 2022). A possible limitation that may be raised is in terms of languages: the methods we have described work best with a mono-language corpus.…”

Section: Discussionmentioning

confidence: 99%

Inferring social networks from unstructured text data: A proof of concept detection of hidden communities of interest

Malaterre,

Lareau

2024

Data & Policy

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Social network analysis is known to provide a wealth of insights relevant to many aspects of policymaking. Yet, the social data needed to construct social networks are not always available. Furthermore, even when they are, interpreting such networks often relies on extraneous knowledge. Here, we propose an approach to infer social networks directly from the texts produced by actors and the terminological similarities that these texts exhibit. This approach relies on fitting a topic model to the texts produced by these actors and measuring topic profile correlations between actors. This reveals what can be called “hidden communities of interest,” that is, groups of actors sharing similar semantic contents but whose social relationships with one another may be unknown or underlying. Network interpretation follows from the topic model. Diachronic perspectives can also be built by modeling the networks over different time periods and mapping genealogical relationships between communities. As a case study, the approach is deployed over a working corpus of academic articles (domain of philosophy of science; N=16,917).

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Section: Discussionmentioning

confidence: 99%

Inferring social networks from unstructured text data: A proof of concept detection of hidden communities of interest

Malaterre,

Lareau

2024

Data & Policy

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“…Opinion poll is the general public response to decisions made by decision-makers about a particular subject (Price, 2008). According to Pekar et al (2022) political opinion polls are regarded as a major way to understand a nation's attitude to different political and social issues. As a result, they create awareness among the public (Ireri & Wolf, 2010).…”

Section: Opinion Pollsmentioning

confidence: 99%

“…Polls play an important role in determining the eventual outcomes of elections by shaping the behavior of both voter and politicians (Pekar et al, 2022). This implies that choices are influenced by the perceived chances of particular candidate winning.…”

Section: Introductionmentioning

confidence: 99%

Public Perception of Political Opinion Polls and Their Influence on People’s Voting Behavior: The Case of Mwanza City Residents

Gasuku¹

2023

Sage Open

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This study focuses on the influence of public perceptions of political opinion polls on people’s voting behavior in Mwanza city and the role of Tanzanian media in creating awareness about political opinion polls. The study uses a descriptive paradigm and a qualitative case study design. A purposive sampling technique was used to select participants for key informants and focus group discussions. The study concludes that, although polling is a new phenomenon in Tanzania, the level of awareness of polls is high among Mwanza City residents and they hold a variety of positions regarding the accuracy of the polls. The study highlights why journalists need to be trained on how to report poll-related stories to avoid false conclusions because they have become a major source of news.

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