Visual Political Communication in a Polarized Society: A Longitudinal
Study of Brazilian Presidential Elections on Instagram
- URL: http://arxiv.org/abs/2310.00349v2
- Date: Sat, 9 Mar 2024 13:22:29 GMT
- Title: Visual Political Communication in a Polarized Society: A Longitudinal
Study of Brazilian Presidential Elections on Instagram
- Authors: Mathias-Felipe de-Lima-Santos, Isabella Gon\c{c}alves, Marcos G.
Quiles, Lucia Mesquita, Wilson Ceron, Maria Clara Couto Lorena
- Abstract summary: This study aims to investigate the visual communication strategies employed in a dataset of 11,263 Instagram posts by 19 Brazilian presidential candidates.
We identify a prevalence of celebratory and positively toned images.
They also exhibit a strong sense of personalization, portraying candidates connected with their voters on a more emotional level.
- Score: 0.3495246564946556
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: In today's digital age, images have emerged as powerful tools for politicians
to engage with their voters on social media platforms. Visual content possesses
a unique emotional appeal that often leads to increased user engagement.
However, research on visual communication remains relatively limited,
particularly in the Global South. This study aims to bridge this gap by
employing a combination of computational methods and qualitative approach to
investigate the visual communication strategies employed in a dataset of 11,263
Instagram posts by 19 Brazilian presidential candidates in 2018 and 2022
national elections. Through two studies, we observed consistent patterns across
these candidates on their use of visual political communication. Notably, we
identify a prevalence of celebratory and positively toned images. They also
exhibit a strong sense of personalization, portraying candidates connected with
their voters on a more emotional level. Our research also uncovers unique
contextual nuances specific to the Brazilian political landscape. We note a
substantial presence of screenshots from news websites and other social media
platforms. Furthermore, text-edited images with portrayals emerge as a
prominent feature. In light of these results, we engage in a discussion
regarding the implications for the broader field of visual political
communication. This article serves as a testament to the pivotal role that
Instagram has played in shaping the narrative of two fiercely polarized
Brazilian elections, casting a revealing light on the ever-evolving dynamics of
visual political communication in the digital age. Finally, we propose avenues
for future research in the realm of visual political communication.
Related papers
- 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) - Representation Bias in Political Sample Simulations with Large Language Models [54.48283690603358]
This study seeks to identify and quantify biases in simulating political samples with Large Language Models.
Using the GPT-3.5-Turbo model, we leverage data from the American National Election Studies, German Longitudinal Election Study, Zuobiao dataset, and China Family Panel Studies.
arXiv Detail & Related papers (2024-07-16T05:52:26Z) - 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) - 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.
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) - Analyzing Image-based Political Propaganda in Referendum Campaigns: From
Elements to Strategies [2.992389186393994]
This paper takes a first look at image-based political propaganda during a national referendum in Taiwan.
We investigated more than 2,000 images posted on Facebook by the two major parties to understand the elements of images and the strategies of political organizations.
arXiv Detail & Related papers (2022-05-26T05:00:48Z) - 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) - Political Posters Identification with Appearance-Text Fusion [49.55696202606098]
We propose a method that efficiently utilizes appearance features and text vectors to accurately classify political posters.
The majority of this work focuses on political posters that are designed to serve as a promotion of a certain political event.
arXiv Detail & Related papers (2020-12-19T16:14:51Z) - Inferring Political Preferences from Twitter [0.0]
Political Sentiment Analysis of social media helps the political strategists to scrutinize the performance of a party or candidate.
During the time of elections, the social networks get flooded with blogs, chats, debates and discussions about the prospects of political parties and politicians.
In this work, we chose to identify the inclination of political opinions present in Tweets by modelling it as a text classification problem using classical machine learning.
arXiv Detail & Related papers (2020-07-21T05:20:43Z)
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.