Exploring the relationships between media and political parties through web hyperlink analysis: The case of <scp>S</scp>pain

Frías, Esteban Romero; Vaughan, Liwen

doi:10.1002/asi.22625

Cited by 9 publications

(4 citation statements)

References 30 publications

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“…A content analysis of inlinks to vaccination sites (Ninkov & Vaughan, ) found that pro‐sites tend to link to pro‐sites and anti‐sites link to anti‐sites, which explains why the provaccination sites tend to be co‐linked with pro‐sites and the same applies to antivaccination sites. The pro and anti divide seen in this study parallels the political left and right divide of Spanish media found in a co‐link study (Romero‐Frías & Vaughan, ) using Yahoo! co‐link data.…”

Section: Discussionsupporting

confidence: 83%

A new approach to web co‐link analysis

Vaughan

Ninkov

2018

Asso for Info Science & Tech

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Numerous web co-link studies have analyzed a wide variety of websites ranging from those in the academic and business arena to those dealing with politics and governments. Such studies uncover rich information about these organizations. In recent years, however, there has been a dearth of co-link analysis, mainly due to the lack of sources from which co-link data can be collected directly. Although several commercial services such as Alexa provide inlink data, none provide co-link data. We propose a new approach to web co-link analysis that can alleviate this problem so that researchers can continue to mine the valuable information contained in co-link data. The proposed approach has two components: (a) generating co-link data from inlink data using a computer program; (b) analyzing co-link data at the site level in addition to the page level that previous colink analyses have used. The site-level analysis has the potential of expanding co-link data sources. We tested this proposed approach by analyzing a group of websites focused on vaccination using Moz inlink data. We found that the approach is feasible, as we were able to generate co-link data from inlink data and analyze the co-link data with multidimensional scaling.

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Section: Discussionsupporting

confidence: 83%

A new approach to web co‐link analysis

Vaughan

Ninkov

2018

Asso for Info Science & Tech

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“…The co-link analysis was implemented on vaccination network and some topic groups from the website-level and page-level were sketched empirically by the authors [31]. Some clues can also be found in the networks of regional administrations that municipal departments between cities with social, economic, legal and administrative relationships [4], or parties holding similar political attitude are more likely to link each other [32][33][34].…”

Section: Related Workmentioning

confidence: 99%

Measuring visibility of disciplines on Chinese academic web

Yang

Sun

Huang

2020

Journal of Information Science

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This study proposes a hierarchy affiliation model (department–school–university) to build network between web entities taking into account the domain names, the topological structure of academic network and the disciplinary characteristics of schools and universities synthetically. The study of the Chinese academic web based on the model shows that at the school level, 68 of 95 disciplines (71.6%) are identified from the directed school network and 71 from the undirected school network, respectively; at the university level, four out of seven broad disciplines are found. Furthermore, according to the comparative result based on three types of relations (hyperlinks, citations and collaborations) among universities, we would like to argue with cautions that the structure on academic web would potentially be more suitable to trace the interests in common between institutions.

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“…Despite this, it is difficult to predict the party of a Twitter user from the list of accounts that they follow [42]. Ideological groupings also occur on the web for political and media websites in Spain, highlighting the partisan nature of the media [43].…”

Section: Background and Related Workmentioning

confidence: 99%

The megaphone of the people? Spanish SentiStrength for real-time analysis of political tweets

Vilares

Thelwall

Alonso

2015

Journal of Information Science

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Twitter is an important platform for sharing opinions about politicians, parties and political decisions. These opinions can be exploited as a source of information to monitor the impact of politics on society. This article analyses the sentiment of 2,704,523 tweets referring to Spanish politicians and parties from a month in 2014–2015. The article makes three specific contributions: (a) enriching SentiStrength, a fast unsupervised sentiment strength detection system, for Spanish political tweeting; (b) analysing how linguistic phenomena such as negation, idioms and character duplication influence Spanish sentiment strength detection accuracy; and (c) analysing Spanish political tweets to rank political leaders, parties and personalities for popularity. Sentiment in Twitter for key politicians broadly reflects the main official polls for popularity but not for voting intention. In addition, the data suggests that the primary role of Twitter in politics is to select and amplify political events published by traditional media.

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Exploring the relationships between media and political parties through web hyperlink analysis: The case of Spain

Cited by 9 publications

References 30 publications

A new approach to web co‐link analysis

A new approach to web co‐link analysis

Measuring visibility of disciplines on Chinese academic web

The megaphone of the people? Spanish SentiStrength for real-time analysis of political tweets

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