Metrics For Monitoring A Social-Political Blogosphere: A Malaysian Case Study

Ulicny, Brian; Kokar, Mieczyslaw M.; Matheus, Christopher J.

doi:10.1109/mic.2010.22

Cited by 13 publications

(8 citation statements)

References 4 publications

Supporting

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“…The two most widely shared interpretations among the sample were as indicators of influence (Bross, Quasthoff, Berger, Hennig, & Meinel, 2010;Mathioudakis, Koudas, & Marbach, 2010;Ulicny, Kokar, & Matheus, 2010) and of relevance (Bhattarai, Rus, & Dasgupta, 2009;Jamali & Abolhassani, 2006). This general view closely matches that of PageRank, the algorithm that premises the order of Google's search results upon the number of highly linked pages linking to them (indeed, PageRank is cited or mentioned in several of these articles).…”

Section: Hyperlinkssupporting

confidence: 56%

On the Interpretation of Digital Trace Data in Communication and Social Computing Research

Freelon

2014

Journal of Broadcasting & Electronic Media

100

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Section: Hyperlinkssupporting

confidence: 56%

On the Interpretation of Digital Trace Data in Communication and Social Computing Research

Freelon

2014

Journal of Broadcasting & Electronic Media

100

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“…Technorati, a blog search engine, uses the relatively simple metric of in-link centrality, the number of links from other blogs over the last six months, as their blog quality metric. Some of the present authors have shown that a metric combining both Technorati authority and reader engagement, as measured by blog comment counts, as well as accountability-enhancing profile features, outperforms both PageRank and Technorati Authority alone in ranking social-political blogs by their credibility [17], which correlates with their influence. Similar network-based metrics for estimating reliability apply to source documents for tagged text and logic-based solutions as well.…”

Section: Current Approaches To Reliabilitymentioning

confidence: 59%

Current approaches to automated information evaluation and their applicability to Priority Intelligence Requirement answering

Ulicny

Matheus

Powell

et al. 2010

2010 13th International Conference on Information Fusion

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Doctrinally, Priority Intelligence Requirements (PIRs) represent information that the commander needs to know in order to make a decision or achieve a desired effect. Networked warfare provides the intelligence officer with access to multitudes of sensor outputs and reports, often from unfamiliar sources. Counterinsurgency requires evaluating information across all PMESII-PT categories: Political, Military, Economic, Social, Infrastructure Information, Physical Environment and Time. How should analysts evaluate this information? NATO's STANAG (Standard Agreement) 2022 requires that every piece of information in intelligence reports used to answer PIRs should be evaluated along two independent dimensions: the reliability of its source and the credibility of the information. Recent developments in information retrieval technologies, including social search technologies, incorporate metrics of information evaluation, reliability and credibility, such as Google's PageRank. In this paper, we survey various current approaches to automatic information evaluation and explore their applicability to the information evaluation and PIR answering tasks.

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“…While the previous two threads of inquiry have engaged topics of power and politics in comparison to existing hierarchies of elite political actors and mass media gatekeepers, the latest progression of scholarship on the political blogosphere does so more directly. Here, scholars have begun to investigate the unique structuring of power and influence within the blogosphere and the digital information ecology (Karpf 2008a;Drezner and Farrell 2008;Ulicny, Matheus, and Kokar 2010). Most comprehensively, this body of work investigates the structural dynamics of the political blogosphere and its impact on information diffusion, political communication, and mobilization (Park and Jankowski 2008).…”

Section: Blogs and Political Information Diffusionmentioning

confidence: 99%

Fifteen Minutes of Fame: The Power of Blogs in the Lifecycle of Viral Political Information

2011

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This empirical study addresses dynamics of viral information in the blogosphere, presenting a new methodology which enables the capture of dynamism and the time-factor of information diffusion in networks. Data was gathered on nearly 10,000 blogs and 13,000 blog posts, linking to 65 of the top U.S. presidential election videos that became viral on the Internet between March 2007 and June 2009. The article argues that the blogosphere is not monolithic and illuminates the role of four important blog types: elite, top-political, top-general and tail blogs. It creates a map of the 'life cycle' of blogs posting links to viral information. It shows that elite and top-general blogs ignite the virality process, which means that they get the chance to frame messages and influence agenda setting while top-political and tail blogs act as followers in the process.

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Metrics For Monitoring A Social-Political Blogosphere: A Malaysian Case Study

Cited by 13 publications

References 4 publications

On the Interpretation of Digital Trace Data in Communication and Social Computing Research

On the Interpretation of Digital Trace Data in Communication and Social Computing Research

Current approaches to automated information evaluation and their applicability to Priority Intelligence Requirement answering

Fifteen Minutes of Fame: The Power of Blogs in the Lifecycle of Viral Political Information

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