Social media analytics for competitive advantage

Ribarsky, William; Wang, Derek Xiaoyu; Dou, Wenwen

doi:10.1016/j.cag.2013.11.003

Cited by 44 publications

(18 citation statements)

References 5 publications

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“…Social media analytics is a powerful tool for uncovering stakeholder sentiment dispersed across countless online sources. This analysis is often called "social media listening," as the analytics allow marketers to identify sentiment and trends in order to better meet their customers' needs (Ribarsky et al 2014;Bekmamedova et al, 2014). While social media analytics represents a fairly recent approach to the study of online interaction among organizations and their stakeholders (especially customers), content analysis is a method widely adopted in organization disclosure studies (Guthrie et al, 2004) because it allows repeatability and valid inferences from data according to their context (Krippendorff, 1980).…”

mentioning

confidence: 99%

Facebook as a tool for supporting dialogic accounting? Evidence from large philanthropic foundations in the United States

Bellucci

Manetti

2017

AAAJ

156

193

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Purpose The purpose of this paper is to explore the utilization of the social network, Facebook, as an instrument of stakeholder engagement and dialogic accounting in American charitable foundations, specifically non-profit organizations that are dedicated to philanthropy. Design/methodology/approach The research motivation involves whether online interaction through Facebook could represent a channel of dialogic accounting that engages organizational stakeholders. This paper aims to understand if this dialogue is geared to generate a consensus necessary to deliberate over decisions that are shared between all stakeholders, or if a divergent and agonistic perspective, which highlights struggles and differences between actors, prevails. The present study employs a form of content analysis that takes into account the Facebook pages of the 100 largest American philanthropic foundations. Findings The primary goal of the analysis is to examine the discrepancies in terms of how (and how much) large organizations are using Facebook. The study wants to provide more details on which kind of information large organizations are willing to disclose and collect on Facebook, and to evaluate the level and type of interaction between foundations and users. Research limitations/implications Further research could build on the present study by providing in-depth case studies and extending the analysis to other social media and other types of organizations. Originality/value Social media represent a powerful mechanism to engage stakeholders in a polylogic conversation. However, the scholarly literature confirms that further studies are necessary to understand how companies and organization can exploit this potential.

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mentioning

confidence: 99%

Facebook as a tool for supporting dialogic accounting? Evidence from large philanthropic foundations in the United States

Bellucci

Manetti

2017

AAAJ

156

193

View full text Add to dashboard Cite

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“…Although most of the cases provide no interaction, some interesting approaches are found. For instance, hovering the mouse-over a term can highlight the corresponding cooccurring terms or related terms (Lohmann et al 2012;Kraft et al 2013), can simply display a tooltip with the number of tweets, can be connected with other views and highlight the related tweet in the tweet list (MacEachren et al 2011a, b), 6 or can be connected with more sophisticated content, e.g., reference articles, news and related terms from Wikipedia (Purohit et al 2013). More interestingly, (Lohmann et al 2012) allow having further details about the temporal variation of the term usage using a histogram as background to each term and reconfiguring the layout of the word cloud based on factors such as the linear/algorithmic scale of terms' font size (based on the number of terms to be displayed) or the threshold (i.e., the minimum number of times a term must occur to appear).…”

mentioning

confidence: 99%

A Survey on Visual Analytics for the Spatio-Temporal Exploration of Microblogging Content

Bertone

Burghardt

2017

J geovis spat anal

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User-generated content is a valuable source of information whose production increases year after year. Twitter data is a form of user-generated content that is frequently adopted to comment on life activities in several contexts. Thus, scientific interest in that data has increased in recent years. This paper focusses on visual analytics approaches addressing the microblogging content exchanged through Twitter. In particular, we concentrate our interest on approaches that consider spatial and temporal aspects and provide visual support. Articles from the major conferences, journals, and digital libraries have been collected, organized and compared based on different criteria such as research questions, application focus, analytical and visual methods adopted, and interaction provided. In addition to these comparisons, opportunities and challenges are illustrated to inspire future research.

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“…The fluctuation of the river indicates the number of Tweets within a specific topic. Based on these features, they can analyze the reasons why events break out and identify the sources and related topics [RWD14]. Wang et al extend the system into a new one, I‐SI, which improve the scalability when analyzing large groups of topics in the events [WDM*12].…”

Section: Visualization Techniquesmentioning

confidence: 99%

Social Media Visual Analytics

Chen

Lin

Yuan

2017

Computer Graphics Forum

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With the development of social media (e.g. Twitter, Flickr, Foursquare, Sina Weibo, etc.), a large number of people are now using them and post microblogs, messages and multi‐media information. The everyday usage of social media results in big open social media data. The data offer fruitful information and reflect social behaviors of people. There is much visualization and visual analytics research on such data. We collect state‐of‐the‐art research and put it into three main categories: social network, spatial temporal information and text analysis. We further summarize the visual analytics pipeline for the social media, combining the above categories and supporting complex tasks. With these techniques, social media analytics can apply to multiple disciplines. We summarize the applications and public tools to further investigate the challenges and trends.

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Social media analytics for competitive advantage

Cited by 44 publications

References 5 publications

Facebook as a tool for supporting dialogic accounting? Evidence from large philanthropic foundations in the United States

Facebook as a tool for supporting dialogic accounting? Evidence from large philanthropic foundations in the United States

A Survey on Visual Analytics for the Spatio-Temporal Exploration of Microblogging Content

Social Media Visual Analytics

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