Weak ties strengthen anger contagion in social media
- URL: http://arxiv.org/abs/2005.01924v1
- Date: Tue, 5 May 2020 02:57:51 GMT
- Title: Weak ties strengthen anger contagion in social media
- Authors: Rui Fan, Ke Xu and Jichang Zhao
- Abstract summary: Using the analysis of millions of tweets in Weibo, we find that anger travels easily along weaker ties than joy.
This is the first time that quantitative long-term evidence has been presented that reveals a difference in the mechanism by which joy and anger are disseminated.
- Score: 12.017879121725274
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Increasing evidence suggests that, similar to face-to-face communications,
human emotions also spread in online social media. However, the mechanisms
underlying this emotion contagion, for example, whether different feelings
spread in unlikely ways or how the spread of emotions relates to the social
network, is rarely investigated. Indeed, because of high costs and
spatio-temporal limitations, explorations of this topic are challenging using
conventional questionnaires or controlled experiments. Because they are
collection points for natural affective responses of massive individuals,
online social media sites offer an ideal proxy for tackling this issue from the
perspective of computational social science. In this paper, based on the
analysis of millions of tweets in Weibo, surprisingly, we find that anger
travels easily along weaker ties than joy, meaning that it can infiltrate
different communities and break free of local traps because strangers share
such content more often. Through a simple diffusion model, we reveal that
weaker ties speed up anger by applying both propagation velocity and coverage
metrics. To the best of our knowledge, this is the first time that quantitative
long-term evidence has been presented that reveals a difference in the
mechanism by which joy and anger are disseminated. With the extensive
proliferation of weak ties in booming social media, our results imply that the
contagion of anger could be profoundly strengthened to globalize its negative
impact.
Related papers
- Catching Stray Balls: Football, fandom, and the impact on digital discourse [0.0]
This paper examines how emotional responses to football matches influence online discourse across digital spaces on Reddit.<n>It demonstrates that real-world events trigger sentiment shifts that move across communities.<n>Negative sentiment correlates with problematic language; match outcomes directly influence sentiment and posting habits; sentiment can transfer to unrelated communities.
arXiv Detail & Related papers (2025-06-02T13:16:06Z) - An Analytical Emotion Framework of Rumour Threads on Social Media [70.99338702018942]
We provide a comprehensive analytical emotion framework with multi-aspect emotion detection, contrasting rumour and non-rumour threads, and provide both correlation and causal analysis of emotions.<n>Our framework reveals that rumours trigger more negative emotions (e.g., anger, fear, pessimism) while non-rumours evoke more positive ones.
arXiv Detail & Related papers (2025-02-23T12:57:40Z) - DISHONEST: Dissecting misInformation Spread using Homogeneous sOcial NEtworks and Semantic Topic classification [2.6356166840419717]
COVID-19 pandemic resulted in a significant rise in spread of misinformation on online platforms such as Twitter.
We use Twitter's network of retweets to study social interactions and topic modeling to study tweet content.
arXiv Detail & Related papers (2024-12-12T18:53:46Z) - Echo-chambers and Idea Labs: Communication Styles on Twitter [51.13560635563004]
This paper investigates the communication styles and structures of Twitter (X) communities within the vaccination context.
By shedding light on the nuanced nature of communication within social networks, this study emphasizes the significance of understanding the diversity of perspectives within online communities.
arXiv Detail & Related papers (2024-03-28T13:55:51Z) - Executive Voiced Laughter and Social Approval: An Explorative Machine
Learning Study [56.03830131919201]
We study voiced laughter in executive communication and its effect on social approval.
Our findings contribute to research at the nexus of executive communication, strategic leadership, and social evaluations.
arXiv Detail & Related papers (2023-05-16T14:39:00Z) - Why Do You Feel This Way? Summarizing Triggers of Emotions in Social
Media Posts [61.723046082145416]
We introduce CovidET (Emotions and their Triggers during Covid-19), a dataset of 1,900 English Reddit posts related to COVID-19.
We develop strong baselines to jointly detect emotions and summarize emotion triggers.
Our analyses show that CovidET presents new challenges in emotion-specific summarization, as well as multi-emotion detection in long social media posts.
arXiv Detail & Related papers (2022-10-22T19:10:26Z) - Adherence to Misinformation on Social Media Through Socio-Cognitive and
Group-Based Processes [79.79659145328856]
We argue that when misinformation proliferates, this happens because the social media environment enables adherence to misinformation.
We make the case that polarization and misinformation adherence are closely tied.
arXiv Detail & Related papers (2022-06-30T12:34:24Z) - Validating daily social media macroscopes of emotions [0.12656629989060433]
We run a large-scale survey at an online newspaper to gather daily self-reports of affective states from its users.
We compare these with aggregated results of sentiment analysis of user discussions on the same online platform.
For both platforms, we find strong correlations between text analysis results and levels of self-reported emotions.
arXiv Detail & Related papers (2021-08-17T14:28:56Z) - Social media emotion macroscopes reflect emotional experiences in
society at large [0.12656629989060433]
Social media generate data on human behaviour at large scales and over long periods of time.
Recent research has shown weak correlations between social media emotions and affect questionnaires at the individual level.
No research has tested the validity of social media emotion macroscopes to track the temporal evolution of emotions at the level of a whole society.
arXiv Detail & Related papers (2021-07-28T09:40:42Z) - A Study on Herd Behavior Using Sentiment Analysis in Online Social
Network [1.5673338088641469]
This paper represents and analyze the capacity of diverse strategies to predict critical opinions from online social networking sites.
Social media becomes a good outlet since the last decades to share the opinions globally.
This study demonstrates the evaluation of sentiment analysis techniques using social media contents.
arXiv Detail & Related papers (2021-07-25T05:22:35Z) - Fragments of the Past: Curating Peer Support with Perpetrators of
Domestic Violence [88.37416552778178]
We report on a ten-month study where we worked with six support workers and eighteen perpetrators in the design and deployment of Fragments of the Past.
We share how crafting digitally-augmented artefacts - 'fragments' - of experiences of desisting from violence can translate messages for motivation and rapport between peers.
These insights provide the basis for practical considerations for future network design with challenging populations.
arXiv Detail & Related papers (2021-07-09T22:57:43Z) - The Impact of Disinformation on a Controversial Debate on Social Media [1.299941371793082]
We study how pervasive is the presence of disinformation in the Italian debate around immigration on Twitter.
By characterising the Twitter users with an textitUntrustworthiness score, we are able to see that such bad information consumption habits are not equally distributed across the users.
arXiv Detail & Related papers (2021-06-30T10:29:07Z) - The Burden of Being a Bridge: Analysing Subjective Well-Being of Twitter
Users during the COVID-19 Pandemic [4.178929174617172]
We study the impact of the pandemic on the mental health of influential social media users.
We analyse whether SWB changes have a relationship with their bridging performance in information diffusion.
With the data collected from Twitter for almost two years, we reveal the greater mental suffering of influential users during the COVID-19 pandemic.
arXiv Detail & Related papers (2021-04-09T12:29:34Z) - Echo Chambers on Social Media: A comparative analysis [64.2256216637683]
We introduce an operational definition of echo chambers and perform a massive comparative analysis on 1B pieces of contents produced by 1M users on four social media platforms.
We infer the leaning of users about controversial topics and reconstruct their interaction networks by analyzing different features.
We find support for the hypothesis that platforms implementing news feed algorithms like Facebook may elicit the emergence of echo-chambers.
arXiv Detail & Related papers (2020-04-20T20:00:27Z)
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.