Democracy.com: A Tale of Political Blogs and Content

Nahon, Karine; Hemsley, Jeff

doi:10.1109/hicss.2011.140

Cited by 12 publications

(9 citation statements)

References 15 publications

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“…For example, if user-A has 200 followers, then the cells in user-A's column contain 200. Wasserman and Faust refer to these as expansiveness and popularity effects (1994), or more recently, receiver effects (Nahon and Hemsley, 2011). We expect this variable to be both significant and positive.…”

Section: Each Of the Variables Is In Matrix Form And Is Constructed Amentioning

confidence: 99%

Occupied with Place: Exploring Twitter Resistance Networks

Hemsley¹,

Eckert²

2014

iConference 2014 Proceedings

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From Tehran Square to Gezi Park, Twitter is an emergent tactic of protestors in the public square. Our work utilizes the theoretical framework of contentious politics and its human geographic extension as a framework for examining the role of "place" in Twitter-based networks of resistance. We examine Twitter traffic about local instantiations of Occupy Wall Street across eight cities. The study addresses mutual communications between Twitter participants in hashtags related to each of these local instantiations. This work explores the role of place as a constitutive component of these networks. To do so, we employ descriptive statistical and chi-square tests to examine the significance of user-defined metadata regarding place to the exchanges between users within a network. We conclude that place matters and point to future directions in computational and traditional qualitative analysis, spatial-temporal studies of social media, and the effects of locational propinquity for network development.

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Section: Each Of the Variables Is In Matrix Form And Is Constructed Amentioning

confidence: 99%

Occupied with Place: Exploring Twitter Resistance Networks

Hemsley¹,

Eckert²

2014

iConference 2014 Proceedings

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“…Several social computing research teams have used supervised learning to predict the political leanings of social media users (Conover et al, 2011;Jiang & Argamon, 2008;Park, Ko, Kim, Liu, & Song, 2011). Finally, network methods have proven themselves quite versatile, with applications in the study of political spam (Ratkiewicz et al, 2011), communication patterns among political bloggers (Adamic & Glance, 2005;Nahon & Hemsley, 2011;Ulicny et al, 2010), and political gatekeeping in social media (Jürgens et al, 2011). This very brief survey was intended to highlight some of the ways computational methods have been used to study political topics.…”

Section: Discussionmentioning

confidence: 99%

“…Interfacing with APIs to extract data is evidently such a routine activity in social computing research that documenting its details is optional. Studies that examined content from sources without APIs-blogs for example-usually used their own custom web-scraping scripts (Adamic & Glance, 2005;Nahon & Hemsley, 2011;Ulicny, Kokar, & Matheus, 2010).…”

Section: Data Collectionmentioning

confidence: 99%

On the cutting edge of Big Data: digital politics research in the social computing literature

Freelon¹

2015

Handbook of Digital Politics

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Most of this volume's chapters review studies rooted in political science, communication, and closely related disciplines. Indeed, many reference a small clique of foundational authors in agreement and/or disagreement, including Castells, Benkler, Hindman, Jenkins, Morozov, and Shirky. In the current chapter I diverge from this norm to examine a body of literature only rarely acknowledged by mainstream digital politics scholarship. This literature contains politicallyrelevant research by computer scientists and information scientists and is published under a variety of disciplinary labels, but will be referred to here as social computing research. As its name implies, social computing research's purview includes any aspect of human behavior involving both digital technology and more than one person (Parameswaran & Whinston, 2007; Wang, Carley, Zeng, & Mao, 2007). Politics accounts for a small but thriving subset of this literature, which also encompasses health, business, economics, entertainment, artificial intelligence, and disaster response, among other topics. Social computing research on politics holds relevance for scholars of digital politics and political communication for two related reasons, the first methodological and the second theoretical. Social computing researchers have for many years led the vanguard in computational and "Big Data" methods (sometimes in combination with other methods), in which the disciplines of political science and communication have both expressed great interest of late. 1

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“…This study focuses on the diffusion process in Twitter. Extensive exploratory research has been conducted on online social networks, for examples, online information diffusion investigating social media services, such as Facebook [14,15], YouTube [16][17][18], blogs [19,20], and Twitter [21][22][23][24][25][26]. Using the extensive diffusion research background on Twitter as an empirical basis for our study, previous research topics on Twitter cover influential identification [23,24], political communication [19,20,25], and information diffusion [15,[21][22][23]26].…”

Section: Related Workmentioning

confidence: 99%

Information Diffusion with Content Crossover in Online Social Media: An Empirical Analysis of the Social Transmission Process in Twitter

Kwon¹,

Han

2013

2013 46th Hawaii International Conference on System Sciences

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Social media has attracted attention as an information channel for content generated in heterogeneous Internet services. Focusing on social media platforms, we examine the factors behind social transmission with content crossover from other services through hypertext link (URL). We investigate the effects of source influence and peer referrals on diffusion outcome and address their variations in the case of content crossover.Using 3,504,831 diffusion processes identified from real transaction data in Twitter, we demonstrate the existence of source and peer effects on content diffusion. These effects vary when shared content is linked with an external service by a URL. Source influence and peer referral have a positive impact on cascade size in the content dissemination process. In the case of content crossover, the impact of source influence decreases. However, the impact of peer referrals increases in the process of external content dissemination. Implications for researchers and managers are discussed.

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Democracy.com: A Tale of Political Blogs and Content

Abstract: Abstract

Cited by 12 publications

References 15 publications

Occupied with Place: Exploring Twitter Resistance Networks

Occupied with Place: Exploring Twitter Resistance Networks

On the cutting edge of Big Data: digital politics research in the social computing literature

Information Diffusion with Content Crossover in Online Social Media: An Empirical Analysis of the Social Transmission Process in Twitter

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