Unveiling Political Influence Through Social Media: Network and Causal Dynamics in the 2022 French Presidential Election
- URL: http://arxiv.org/abs/2506.16449v1
- Date: Thu, 19 Jun 2025 16:35:02 GMT
- Title: Unveiling Political Influence Through Social Media: Network and Causal Dynamics in the 2022 French Presidential Election
- Authors: Ixandra Achitouv, David Chavalarias,
- Abstract summary: During the 2022 French presidential election, we collected daily Twitter messages on key topics posted by political candidates and their close networks.<n>Using a data-driven approach, we analyze interactions among political parties, identifying central topics that shape the landscape of political debate.<n>Our findings demonstrate how specific issues, such as health and foreign policy, act as catalysts for cross-party influence, particularly during critical election phases.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: During the 2022 French presidential election, we collected daily Twitter messages on key topics posted by political candidates and their close networks. Using a data-driven approach, we analyze interactions among political parties, identifying central topics that shape the landscape of political debate. Moving beyond traditional correlation analyses, we apply a causal inference technique: Convergent Cross Mapping, to uncover directional influences among political communities, revealing how some parties are more likely to initiate changes in activity while others tend to respond. This approach allows us to distinguish true influence from mere correlation, highlighting asymmetric relationships and hidden dynamics within the social media political network. Our findings demonstrate how specific issues, such as health and foreign policy, act as catalysts for cross-party influence, particularly during critical election phases. These insights provide a novel framework for understanding political discourse dynamics and have practical implications for campaign strategists and media analysts seeking to monitor and respond to shifts in political influence in real time.
Related papers
- Political-LLM: Large Language Models in Political Science [159.95299889946637]
Large language models (LLMs) have been widely adopted in political science tasks.<n>Political-LLM aims to advance the comprehensive understanding of integrating LLMs into computational political science.
arXiv Detail & Related papers (2024-12-09T08:47:50Z) - On the Use of Proxies in Political Ad Targeting [49.61009579554272]
We show that major political advertisers circumvented mitigations by targeting proxy attributes.
Our findings have crucial implications for the ongoing discussion on the regulation of political advertising.
arXiv Detail & Related papers (2024-10-18T17:15:13Z) - Finding Hidden Swing Voters in the 2022 Italian Elections Twitter Discourse [1.3654846342364308]
We examine the dynamics of political messaging and voter behavior on Twitter during the 2022 Italian general elections.
Our analysis reveals that during election periods, the popularity of politicians increases, and there is a notable variation in the use of persuasive language techniques.
Swing voters are more vulnerable to these propaganda techniques compared to non-swing voters, with differences in vulnerability patterns across various types of political shifts.
arXiv Detail & Related papers (2024-07-01T13:34:29Z) - Generalizing Political Leaning Inference to Multi-Party Systems:
Insights from the UK Political Landscape [10.798766768721741]
An ability to infer the political leaning of social media users can help in gathering opinion polls.
We release a dataset comprising users labelled by their political leaning as well as interactions with one another.
We show that interactions in the form of retweets between users can be a very powerful feature to enable political leaning inference.
arXiv Detail & Related papers (2023-12-04T09:02:17Z) - Understanding Divergent Framing of the Supreme Court Controversies:
Social Media vs. News Outlets [56.67097829383139]
We focus on the nuanced distinctions in framing of social media and traditional media outlets concerning a series of U.S. Supreme Court rulings.
We observe significant polarization in the news media's treatment of affirmative action and abortion rights, whereas the topic of student loans tends to exhibit a greater degree of consensus.
arXiv Detail & Related papers (2023-09-18T06:40:21Z) - Social media polarization reflects shifting political alliances in
Pakistan [44.99833362998488]
Spanning from 2018 to 2022, our analysis of Twitter data allows us to capture pivotal shifts and developments in Pakistan's political arena.
By examining interactions and content generated by politicians affiliated with major political parties, we reveal a consistent and active presence of politicians on Twitter.
Our analysis also uncovers significant shifts in political affiliations, including the transition of politicians to the opposition alliance.
arXiv Detail & Related papers (2023-09-15T00:07:48Z) - The Face of Populism: Examining Differences in Facial Emotional Expressions of Political Leaders Using Machine Learning [50.24983453990065]
We use a deep-learning approach to process a sample of 220 YouTube videos of political leaders from 15 different countries.<n>We observe statistically significant differences in the average score of negative emotions between groups of leaders with varying degrees of populist rhetoric.
arXiv Detail & Related papers (2023-04-19T18:32:49Z) - Weakly Supervised Learning for Analyzing Political Campaigns on Facebook [24.29993132301275]
We propose a weakly supervised approach to identify the stance and issue of political ads on Facebook.
We analyze the temporal dynamics of the political ads on election polls.
arXiv Detail & Related papers (2022-10-19T15:35:37Z) - Shifting Polarization and Twitter News Influencers between two U.S.
Presidential Elections [92.33485580547801]
We analyze the change of polarization between the 2016 and 2020 U.S. presidential elections.
Most of the top influencers were affiliated with media organizations during both elections.
75% of the top influencers in 2020 were not present in 2016, demonstrating that such status is difficult to retain.
arXiv Detail & Related papers (2021-11-03T20:08:54Z) - Reaching the bubble may not be enough: news media role in online
political polarization [58.720142291102135]
A way of reducing polarization would be by distributing cross-partisan news among individuals with distinct political orientations.
This study investigates whether this holds in the context of nationwide elections in Brazil and Canada.
arXiv Detail & Related papers (2021-09-18T11:34:04Z) - Divided We Rule: Influencer Polarization on Twitter During Political
Crises in India [5.861653129876749]
We use Google's Universal Sentence (USE) to encode the tweets of 6k influencers and 26k Indian politicians during political crises in India.
We obtain aggregate vector representations of the influencers based on their tweet embeddings.
We find that while on COVID-19 there is a confluence of influencers on the side of the government, on three other contentious issues around citizenship, Kashmir's statehood, and farmers' protests, it is mainly government-aligned fan accounts that amplify the incumbent's positions.
arXiv Detail & Related papers (2021-05-18T08:38:16Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.