Low Government Performance and Uncivil Political Posts on Social Media:
Evidence from the COVID-19 Crisis in the US
- URL: http://arxiv.org/abs/2107.10041v8
- Date: Fri, 19 Jan 2024 18:51:28 GMT
- Title: Low Government Performance and Uncivil Political Posts on Social Media:
Evidence from the COVID-19 Crisis in the US
- Authors: Kohei Nishi
- Abstract summary: It is less clear how a government's performance is linked with people's uncivil political expression on social media.
The present study collected over 8 million posts on X/Twitter directed at US state governors and classified them as uncivil or not.
The results of the statistical analyses showed that increases in state-level COVID-19 cases led to a significantly higher number of uncivil posts against state governors.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Political expression through social media has already taken root as a form of
political participation. Meanwhile, democracy seems to be facing an epidemic of
incivility on social media platforms. With this background, online political
incivility has recently become a growing concern in the field of political
communication studies. However, it is less clear how a government's performance
is linked with people's uncivil political expression on social media;
investigating the existence of performance evaluation behavior through social
media expression seems to be important, as it is a new form of
non-institutionalized political participation. To fill this gap in the
literature, the present study hypothesizes that when government performance
worsens, people become frustrated and send uncivil messages to the government
via social media. To test this hypothesis, the present study collected over 8
million posts on X/Twitter directed at US state governors and classified them
as uncivil or not, using a neural network-based machine learning method, and
examined the impact of worsening state-level COVID-19 cases on the number of
uncivil posts directed at state governors. The results of the statistical
analyses showed that increases in state-level COVID-19 cases led to a
significantly higher number of uncivil posts against state governors. Finally,
the present study discusses the implications of the findings from two
perspectives: non-institutionalized political participation and the importance
of elections in democracies.
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) - Can LLMs Help Predict Elections? (Counter)Evidence from the World's Largest Democracy [3.0915192911449796]
The study of how social media affects the formation of public opinion and its influence on political results has been a popular field of inquiry.
We introduce a new method: harnessing the capabilities of Large Language Models (LLMs) to examine social media data and forecast election outcomes.
arXiv Detail & Related papers (2024-05-13T15:13:23Z) - 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) - Quantitative Analysis of Forecasting Models:In the Aspect of Online
Political Bias [0.0]
We propose a approach to classify social media posts into five distinct political leaning categories.
Our approach involves utilizing existing time series forecasting models on two social media datasets with different political ideologies.
arXiv Detail & Related papers (2023-09-11T16:17:24Z) - Changes in Policy Preferences in German Tweets during the COVID Pandemic [4.663960015139793]
We present a novel data set of tweets with fine grained political preference annotations.
A text classification model trained on this data is used to extract political opinions.
Results indicate that in response to the COVID pandemic, expression of political opinions increased.
arXiv Detail & Related papers (2023-07-31T16:07:28Z) - Detecting Multidimensional Political Incivility on Social Media [2.3704813250344436]
We present state-of-the-art incivility detection results using a large dataset of 13K political tweets.
We observe that political incivility demonstrates a highly skewed distribution over users, and examine social factors that correlate with incivility at subpopulation and user-level.
arXiv Detail & Related papers (2023-05-24T09:57:12Z) - 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) - Demographic Confounding Causes Extreme Instances of Lifestyle Politics
on Facebook [73.37786708074361]
We find that the most extreme instances of lifestyle politics are those which are highly confounded by demographics such as race/ethnicity.
The most liberal interests included electric cars, Planned Parenthood, and liberal satire while the most conservative interests included the Republican Party and conservative commentators.
arXiv Detail & Related papers (2022-01-17T16:48:00Z) - COVID-19: The Information Warfare Paradigm Shift [0.0]
In information warfare, recent years studies and government lines of efforts have been to engage fake news, electoral interference, and fight extremist social media as the primary combat theater in the information space.
The COVID-19 pandemic generates a rebuttal of these assumptions.
What we have seen with COVID-19, as an indicator, is that what is related to public health is far more powerful to swing public sentiment and create reactions within the citizenry that are trigger impact at a larger magnitude that has rippled through society in multiple directions.
arXiv Detail & Related papers (2020-09-02T18:04:00Z)
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.