The Digital Evolution of Occupy Wall Street

Conover, Michael; Ferrara, Emilio; Menczer, Filippo; Flammini, Alessandro

doi:10.1371/journal.pone.0064679

Cited by 159 publications

(112 citation statements)

References 27 publications

Supporting

Mentioning

104

Contrasting

Unclassified

Order By: Relevance

“…[4] Other scholars highlight the potential of online networks to impact to offline results (Tremayne, 2013;Aday et al, 2010, Conover et al, 2013. They can be used to connect individuals for resource mobilization, collective framing, and help navigate the challenges of mass organization and coordination (Bennett and Segerberg, 2012;Theocharis, 2013;Hounsell, 2011;Theocharis, 2014).…”

Section: Notesmentioning

confidence: 99%

“…Analyses of tweets disseminated throughout the movement (Tremayne 2013;Conover, 2013;Theocharis, 2014, Thorson et al, 2013 reveal how Twitter was used to facilitate the rhetoric between the activists, mass media, organizations and the public and well as to sustain the momentum of the movement. More specifically it was used as a platform for the local level to communicate time-sensitive police and protest information, facilitate interstate communication regarding related to mass media and narrative frames, to manage critical issues faced by the movement.…”

Section: Notesmentioning

confidence: 99%

See 1 more Smart Citation

FCJ-197 Entanglements with Media and Technologies in the Occupy Movement

Boler¹,

Phillips²

2015

fcj

View full text Add to dashboard Cite

Abstract:This essay explores the paradox of activists using corporate-owned platforms-the 'master's tools ' (Lorde, 1984)-in the context of the Occupy Wall Street movement. Grounded in findings from interviews with 30 women activists from eight North American Occupy sites, this essay reveals the frictions that result from the entangled paradox between philosophies embedded within technologies and activists' philosophies. We document entanglements between corporate platforms and radical democratic ideals, and subsequent frictions between activists' ideals and more pragmatic, DIY practices. We also investigate frictions between aspirations of openness, and the realities of surveillance and infiltration by the police state. We examine entanglements through the theoretical lenses of 'connective labor' , 'veillance' (Mann, 2004), and the 'master's tools' (Lorde, 1984), and lay the groundwork for 'queering the binary of individuals and groups ' (Barad, 2012) and recognising the non-linear, dynamic relations of social movements.

show abstract

Section: Notesmentioning

confidence: 99%

Section: Notesmentioning

confidence: 99%

FCJ-197 Entanglements with Media and Technologies in the Occupy Movement

Boler¹,

Phillips²

2015

fcj

View full text Add to dashboard Cite

show abstract

“…Other research has tracked evolutions in social movements and activism using social media [18][19][20], and more still have explored social media as a news source [21][22][23][24].…”

Section: Dissertation Roadmapmentioning

confidence: 99%

Discovering Credible Events in Near Real Time from Social Media Streams

Buntain

2015

Proceedings of the 24th International Conference on World Wide Web

View full text Add to dashboard Cite

Recent reliance on social media platforms as major sources of news and information, both for journalists and the larger population and especially during times of crisis, motivate the need for better methods of identifying and tracking high-impact events in these social media streams. Social media's volume, velocity, and democratization of information (leading to limited quality controls) complicate rapid discovery of these events and one's ability to trust the content posted about these events. This dissertation addresses these complications in four stages, using Twitter as a model social platform. The first stage analyzes Twitter's response to major crises, specifically terrorist attacks in Western countries, showing these high-impact events do not significantly impact message or user volume. Instead, these events drive changes in Twitter's topic distribution, with conversation, retweets, and hashtags relevant to these events experiencing significant, rapid, and short-lived bursts in frequency.Furthermore, conversation participants tend to prefer information from local authorities/organizations/media over national or international sources, with accounts for local police or local newspapers often emerging as central in the networks of interaction. Building on these results, the second stage in this dissertation presents and evaluates a set of features that capture these topical bursts associated with crises by modeling bursts in frequency for individual tokens in the Twitter stream. The resulting streaming algorithm is capable of discovering notable moments across a series of major sports competitions using Twitter's public stream without relying on domain-or language-specific information or models. Furthermore, results demonstrate models trained on sporting competition data perform well when transferred to earthquake identification. This streaming algorithm is then extended in this dissertation's third stage to support real-time event tracking and summarization. This real-time algorithm leverages new distributed processing technology to operate at scale and is evaluated against a collection of other community-developed information retrieval systems, where it performs comparably. Further experiments also show this real-time burst detection algorithm can be integrated with these other information retrieval systems to increase overall performance. The final stage then investigates automated methods for evaluating credibility in social media streams by leveraging two existing data sets. These two data sets measure different types of credibility (veracity versus perception), and results show veracity is negatively correlated with the amount of disagreement in and length of a conversation, and perceptions of credibility are influenced by the amount of links to other pages, shared media about the event, and the number of verified users participating in the discussion. Contributions made across these four stages are then usable in the relatively new fields of computational journalism and crisis informatics, which seek ...

show abstract

“…Social movements: Oliver and Myers [18] develop a foundation for theoretical insights of social movements and describe the limitations of simplified models. The Arab Spring of 2010 served as a context for many researchers [6,2,24,4,20] to study the role social networking sites play in the spread and recruitment of participants in protests. A detailed anatomy of modern social protests is described by Saad-Filho [20] with the June 2013 anti-government protests in Brazil as a context.…”

Section: Related Workmentioning

confidence: 99%

Modeling mass protest adoption in social network communities using geometric brownian motion

Khandpur

Self

Dougherty

et al. 2014

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

View full text Add to dashboard Cite

Modeling the movement of information within social media outlets, like Twitter, is key to understanding to how ideas spread but quantifying such movement runs into several difficulties. Two specific areas that elude a clear characterization are (i) the intrinsic random nature of individuals to potentially adopt and subsequently broadcast a Twitter topic, and (ii) the dissemination of information via non-Twitter sources, such as news outlets and word of mouth, and its impact on Twitter propagation. These distinct yet interconnected areas must be incorporated to generate a comprehensive model of information di↵usion. We propose a bispace model to capture propagation in the union of (exclusively) Twitter and non-Twitter environments. To quantify the stochastic nature of Twitter topic propagation, we combine principles of geometric Brownian motion and traditional network graph theory. We apply Poisson process functions to model information di↵usion outside of the Twitter mentions network. We discuss techniques to unify the two sub-models to accurately model information dissemination. We demonstrate the novel application of these techniques on real Twitter datasets related to mass protest adoption in social communities.

show abstract

The Digital Evolution of Occupy Wall Street

Cited by 159 publications

References 27 publications

FCJ-197 Entanglements with Media and Technologies in the Occupy Movement

FCJ-197 Entanglements with Media and Technologies in the Occupy Movement

Discovering Credible Events in Near Real Time from Social Media Streams

Modeling mass protest adoption in social network communities using geometric brownian motion

Contact Info

Product

Resources

About