Who is suitable to be followed back when you are a Twitter interested in Politics?

Recalde, Lorena; Kaskina, Aigul

doi:10.1145/3085228.3085303

Cited by 5 publications

(4 citation statements)

References 17 publications

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“…Microsoft Excel was used to build the graphic representations on the Twitter and IBOPE Election Polls data. The tag clouds were made with and WordArt online tool 6 .…”

Section: Methodsmentioning

confidence: 99%

“…A significant number of works also focused mainly in the user's profiles [2], interactions [4,6], discourses [3,10] and sentiment analysis [5,8,11] regarding elections campaigns and episodes. Other researchers looked into automated forms of influence during the elections, such as social bots [7] and fake news diffusion.…”

Section: Related Workmentioning

confidence: 99%

“…In the debates, for example, he frequently appeared with a Bible in his hands, proclaiming religious speeches. 6 https://wordart.com/ After analyzing the discourse content, the following visualizations concern the quantitative data gathered: Candidate's Twitter Profiles (number of followers, interactions and tweets), and IBOPE election polls.…”

Section: Discourse Content Analysismentioning

confidence: 99%

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Polls, plans and tweets

Teixeira

Kurtz

Leuck

et al. 2019

Proceedings of the 20th Annual International Conference on Digital Government Research

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Over the past years, Brazil has gone through movements of erosion of trust, and political scandals made room for new presidential candidates to arise, many fueled by a liberal agenda or pure and simple distaste for the legacy of the left-wing party that was in power. This led to a heated election in 2018, with 13 candidates facing off each other online and offline during the first round, fomenting passionate debates among a population of over 208 million with a vast online audience. In this context, a growing relevance of online campaigning appears, with the widespread use of social media by the candidates. By the means of a research methodology centered on discourse and quantitative analysis in politics, we discussed the converging and diverging patterns that emerged among election polls, comparing the online performance manifested on Twitter throughout the first round of presidential elections with the officially registered government plan. Our goal was to see if data visualization could help to explain the relevance of online campaigning in social media and how candidates reacted to the election polls and debates through posting on Twitter. The proposed research methodology and related tools can be used to perform the same type of analysis in future elections. CCS CONCEPTS• Human-centered computing → Empirical studies in collaborative and social computing.

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“…Microsoft Excel was used to build the graphic representations on the Twitter and IBOPE Election Polls data. The tag clouds were made with and WordArt online tool 6 .…”

Section: Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Discourse Content Analysismentioning

confidence: 99%

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Polls, plans and tweets

Teixeira

Kurtz

Leuck

et al. 2019

Proceedings of the 20th Annual International Conference on Digital Government Research

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“…Training Corpus to obtain the Vocabulary Model As it was said before, the authors collected datasets with the aim of applying word2vec. The trained model, which was the result of the research done in [19], was used in the present work because of the advantages the dataset presented: i) diverse nature of content because of a pool of 319,889 tweets posted by Ecuadorian users during a month, and ii) the authors have knowledge of the context involved, i.e. hashtags and their topics, meaning of referenced places and events, and public figures as well as the category their posts fall in.…”

Section: Data Collectionmentioning

confidence: 99%

What Kind of Content Are You Prone to Tweet? Multi-topic Preference Model for Tweeters

Recalde

Baeza–Yates

2020

Communications in Computer and Information Science

Self Cite

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According to tastes, a person could show preference for a given category of content to a greater or lesser extent. However, quantifying people's amount of interest in a certain topic is a challenging task, especially considering the massive digital information they are exposed to. For example, in the context of Twitter, aligned with his/her preferences a user may tweet and retweet more about technology than sports and do not share any music-related content. The problem we address in this paper is the identification of users' implicit topic preferences by analyzing the content categories they tend to post on Twitter. Our proposal is significant given that modeling their multi-topic profile may be useful to find patterns or association between preferences for categories, discover trending topics and cluster similar users to generate better group recommendations of content. In the present work, we propose a method based on the Mixed Gaussian Model to extract the multidimensional preference representation for 399 Ecuadorian tweeters concerning twentytwo different topics (or dimensions) which became known by manually categorizing 68.186 tweets. Our experiment findings indicate that the proposed approach is effective at detecting the topic interests of users.

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Introduction

Kaskina

2022

Citizen Privacy Framework

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Who is suitable to be followed back when you are a Twitter interested in Politics?

Cited by 5 publications

References 17 publications

Polls, plans and tweets

Polls, plans and tweets

What Kind of Content Are You Prone to Tweet? Multi-topic Preference Model for Tweeters

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