Bigbirds Never Die
Understanding Social Dynamics of Emergent Hashtags
Bibliographic Data
| ID | 7539455 |
|---|---|
| Authors | Yu‐Ru Lin (0000-0002-8497-3015, Universidad del Noreste, corresponding author), Yu-Ru Lin, Drew Margolin (0000-0003-0257-6217, Universidad del Noreste), Brian Keegan (0000-0002-7793-398X, Universidad del Noreste), Andrea Baronchelli (0000-0002-0255-0829, Universidad del Noreste), David Lazer (0000-0002-7991-9110, Universidad del Noreste) |
| Year | 2021 |
| Volume | 7 |
| Issue | 1 |
| Pages | 370-379 |
| Publication date | 2021-08-03 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Proceedings of the International AAAI Conference on Web and Social Media (JOURNAL) |
| Journal identifiers | ISSN: 2162-3449 • E-ISSN: 2334-0770 |
| Publisher | Association for the Advancement of Artificial Intelligence (AAAI) (PUBLISHER) |
| DOI | 10.1609/icwsm.v7i1.14407 |
| OpenAlex | W2964137157 |
| Language | EN |
| Citations received | 11 |
| References cited | 17 |
We examine the growth, survival, and context of 256 novel hashtags during the 2012 U.S. presidential debates. Our analysis reveals the trajectories of hashtag use fall into two distinct classes: "winners" that emerge more quickly and are sustained for longer periods of time than other "also-rans" hashtags. We propose a "conversational vibrancy" framework to capture dynamics of hashtags based on their topicality, interactivity, diversity, and prominence. Statistical analyses of the growth and persistence of hashtags reveal novel relationships between features of this framework and the relative success of hashtags. Specifically, retweets always contribute to faster hashtag adoption, replies extend the life of "winners" while having no effect on "also-rans." This is the first study on the lifecycle of hashtag adoption and use in response to purely exogenous shocks. We draw on theories of uses and gratification, organizational ecology, and language evolution to discuss these findings and their implications for understanding social influence and collective action in social media more generally
Action (physics · Context (archaeology · Data science · Dynamics (music · Geography · Gratification · Interactivity · Organizational ecology · Social media · Social science · Sociology · World Wide Web · Complex Network Analysis Techniques · Computer Science · Opinion Dynamics and Social Influence · Psychology · Social Media and Politics · Social Psychology
Emergent Digital Discourses
Tweeting the terror
Can too many hashtags backfire? Understanding audiences’ perceptions of hashtags on Instagram
Astrology as emotional discourse in digital public space
Keeping Citizens Informed and Engaged During the Covid-19 Pandemic Using #YoMeInformoPMA
El rol de la ciudadanía en la conversación política en X. El caso de la #MocionDeCensura de 2023 en España
Event-Related Crowd Activities on Social Media
The emergence and evolution of master terms in the public debate about livestock farming
Searchable talk
How Things Become Popular
Social media hypes about agro-food issues
Time Series Analysis by State Space Methods
The Demography of Corporations and Industries
Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network
The Large‐Scale Structure of Semantic Networks
Differences in the mechanics of information diffusion across topics
Tweet, Tweet, Retweet
Computational Social Science
Regression Models and Life-Tables
Defining Moments, Presidential Debates, and the Dynamics of Quotability
The Origins of Order
Uses and Gratifications Theory in the 21st Century
I tweet honestly, I tweet passionately
One in Ten
| Citations per year | 0.92 |
|---|---|
| Citation span | 2014 - 2026 (13) |
| Highly cited | No |