• Corpus ID: 8275630

#Bigbirds Never Die: Understanding Social Dynamics of Emergent Hashtags

@article{Lin2013BigbirdsND,
  title={\#Bigbirds Never Die: Understanding Social Dynamics of Emergent Hashtags},
  author={Y. Lin and Drew B. Margolin and Brian Keegan and Andrea Baronchelli and David Lazer},
  journal={ArXiv},
  year={2013},
  volume={abs/1303.7144}
}
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… 
Hashtag Drift: Tracing the Evolving Uses of Political Hashtags Over Time
TLDR
Examination of a set of political hashtags on Tumblr finds linguistic changes in the ways that the hashtags are used over time, suggesting that the meaning of the tag expands or proliferates -- a phenomenon the authors dub hashtag drift.
Language in Our Time: An Empirical Analysis of Hashtags
TLDR
This paper performs the first large-scale empirical analysis of hashtags shared on Instagram, the major platform for hashtag-sharing, and proposes a bipartite graph embedding model to summarize users' hashtag profiles, and relies on these profiles to perform friendship prediction.
Whats in a Country Name - Twitter Hashtag Analysis of #singapore
TLDR
Findings indicate that the hashtag is prominent in tweets about local events, local news, users current location and landmark related information sharing, and news agencies, commercial bodies and celebrities make use of the hashtag more than common individuals.
Understanding Communities via Hashtag Engagement: A Clustering Based Approach
TLDR
Insight into community use of hashtags on social media is developed and it is found that hashtags with behavior indicative of real world communities are more engaging.
Hashtag Burnout? A Control Experiment Investigating How Political Hashtags Shape Reactions to News Content
TLDR
Compared to the control group, people shown news posts with political hashtags perceive the news topic as less socially important and are less motivated to know more about social issues related to the post, and people find the news more partisan and controversial when hashtags are included.
#INSERTDIETHERE: Tracing the Techno-Linguistic Associations of Dietary Hashtags on Instagram
The use of hashtags on social media platforms allow users to navigate vast repositories of information with ease – hashtags technologically mediate as they both enable and shape user experience. This
Political Hashtags & the Lost Art of Democratic Discourse
TLDR
Key findings show differences in topical focus, emotional tone of discourse, and rhetorical styles between commenters who were shown news posts with political hashtags versus those shownNews posts without the hashtags.
Out of Vocabulary Words Decrease, Running Texts Prevail and Hashtags Coalesce: Twitter as an Evolving Sociolinguistic System
TLDR
The (in)formality aspects of the linguistic styles in Twitter are studied and it is found that it is neither fully formal nor completely informal, while on one hand, it is quite evident that whitespace usage is getting reduced with a huge prevalence of running texts (pointing to an informal style).
Rising Tides or Rising Stars?: Dynamics of Shared Attention on Twitter during Media Events
TLDR
The findings suggest the need for further research about how social media responses to media events can be used to support collective sensemaking, to promote informed deliberation, and to remain resilient in the face of misinformation.
The ripple of fear, sympathy and solidarity during the Boston bombings
TLDR
This work uses over 180 million geocoded tweets over an entire month to study how Twitter users from different cities expressed three different emotions: fear, sympathy and solidarity, in reaction to the bombings, and finds that the extent to which communities outside Boston express these emotions is correlated with their geographic proximity, social network connections and residents’ direct, physical experiences with Boston.
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 45 REFERENCES
Differences in the mechanics of information diffusion across topics: idioms, political hashtags, and complex contagion on twitter
TLDR
The first large-scale validation of the "complex contagion" principle from sociology, which posits that repeated exposures to an idea are particularly crucial when the idea is in some way controversial or contentious, is provided.
Dynamical classes of collective attention in twitter
TLDR
A large-scale record of Twitter activity is analyzed and it is found that the evolution of hashtag popularity over time defines discrete classes of hashtags, which are linked to the events the hashtags represent and use text mining techniques to provide a semantic characterization of the hashtag classes.
(How) will the revolution be retweeted?: information diffusion and the 2011 Egyptian uprising
This paper examines microblogging information diffusion activity during the 2011 Egyptian political uprisings. Specifically, we examine the use of the retweet mechanism on Twitter, using empirical
We know what @you #tag: does the dual role affect hashtag adoption?
TLDR
This work proposes comprehensive measures to quantify the major factors of how a user selects content tags as well as joins communities, and proves the effectiveness of the dual role, where both the content measures and the community measures significantly correlate to hashtag adoption on Twitter.
Voices of victory: a computational focus group framework for tracking opinion shift in real time
TLDR
This work proposes a novel approach to tame sources of uncertainty through the introduction of "computational focus groups" to track opinion shifts in social media streams, using prior user behaviors to detect users' biases, then groups users with similar biases together.
On the Interplay between Social and Topical Structure
TLDR
The interface of two decisive structures forming the backbone of online social media is examined: the graph structure of social networks - who connects with whom - and the set structure of topical affiliations - who is interested in what, and computationally simple structural determinants can provide remarkable performance in both tasks.
Social-Topical Affiliations: The Interplay between Structure and Popularity
TLDR
This study examines the interface of two decisive structures forming the backbone of online social media: the graph structure of social networks — who is friends with whom — and the set structure of topical affiliations — who talks about what, and finds that both relationships are driven by highly computationally simple structural determinants.
Peaks and persistence: modeling the shape of microblog conversations
TLDR
Using a normalized term frequency, it is demonstrated how an effective table of contents can be extracted by finding localized "peaky topics", and the method's implications on social media research and systems from a textual and social network analysis perpective are proposed.
Tweet the debates: understanding community annotation of uncollected sources
TLDR
It is found that the level of Twitter activity serves as a predictor of changes in topics in the media event and conversational cues can identify the key players in theMedia object and that the content of the Twitter posts can somewhat reflect the topics of discussion in the Media object, but are mostly evaluative, in that they express the poster's reaction to the media.
Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks
TLDR
It is shown that social networks play a crucial role in the spread of information on these sites, and that network structure affects dynamics of information flow.
...
1
2
3
4
5
...