26,430 research outputs found

    Reinforcing attitudes in a gatewatching news era: individual-level antecedents to sharing fact-checks on social media

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    Despite the prevalence of fact-checking, little is known about who posts fact-checks online. Based upon a content analysis of Facebook and Twitter digital trace data and a linked online survey (N = 783), this study reveals that sharing fact-checks in political conversations on social media is linked to age, ideology, and political behaviors. Moreover, an individual’s need for orientation (NFO) is an even stronger predictor of sharing a fact-check than ideological intensity or relevance, alone, and also influences the type of fact-check format (with or without a rating scale) that is shared. Finally, participants generally shared fact-checks to reinforce their existing attitudes. Consequently, concerns over the effects of fact-checking should move beyond a limited-effects approach (e.g., changing attitudes) to also include reinforcing accurate beliefs.Accepted manuscrip

    Challenges of digital innovations : a set-top box based approach

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    The chapter analyses the challenges of digital technology for television audience measurement systems. First, the current state of audience measurement in Belgium is described. In the Belgian case, the traditional television audience measurement system is contested by small broadcasters and challenged by the opportunities that the emergence of digital television and, more specifically, the widespread diffusion of set-top boxes provide. Second, three major challenges for traditional measurement techniques are analysed. This section deals with people’s changing viewing habits, for example on-demand and time-shifted viewing, the provision of more accurate data by set-top boxes, and the increasing interests of platform operators acting as gatekeepers to access to this data. In the final section, conclusions are made

    Incentives for Quality over Time – The Case of Facebook Applications

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    We study the market for applications on Facebook, the dominant platform for social networking and make use of a rule change by Facebook by which high-quality applications were rewarded with further opportunities to engage users. We find that the change led to quality being a more important driver of usage while sheer network size became less important. Further, we find that update frequency helps applications maintain higher usage, while generally usage of Facebook applications declines less rapidly with age

    Social network market: Storytelling on a web 2.0 original literature site

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    This article looks at a Chinese Web 2.0 original literature site, Qidian, in order to show the coevolution of market and non-market initiatives. The analytic framework of social network markets (Potts et al., 2008) is employed to analyse the motivations of publishing original literature works online and to understand the support mechanisms of the site, which encourage readers’ willingness to pay for user-generated content. The co-existence of socio-cultural and commercial economies and their impact on the successful business model of the site are illustrated in this case. This article extends the concept of social network markets by proposing the existence of a ripple effect of social network markets through convergence between PC and mobile internet, traditional and internet publishing, and between publishing and other cultural industries. It also examines the side effects of social network markets, and the role of market and non-market strategies in addressing the issues

    Private Regulation by Platform Operators – Implications for Usage Intensity

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    Platforms operators act as private regulators to increase usage and maximize profits. Their goals depend on the development of the platform: overcoming the chicken-egg problem early on requires attracting platform participants while quality becomes more important later on. Private regulators influence third-party business models, entry barriers, and usage intensity. We analyze how drivers of usage intensity on Facebook’s application platform were affected by a policy change that increased quality incentives for applications. This change led to the number of installations of each application becoming less important, applications in more concentrated sub-markets achieving higher usage, and applications staying attractive for longer

    An Automated Approach to Auditing Disclosure of Third-Party Data Collection in Website Privacy Policies

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    A dominant regulatory model for web privacy is "notice and choice". In this model, users are notified of data collection and provided with options to control it. To examine the efficacy of this approach, this study presents the first large-scale audit of disclosure of third-party data collection in website privacy policies. Data flows on one million websites are analyzed and over 200,000 websites' privacy policies are audited to determine if users are notified of the names of the companies which collect their data. Policies from 25 prominent third-party data collectors are also examined to provide deeper insights into the totality of the policy environment. Policies are additionally audited to determine if the choice expressed by the "Do Not Track" browser setting is respected. Third-party data collection is wide-spread, but fewer than 15% of attributed data flows are disclosed. The third-parties most likely to be disclosed are those with consumer services users may be aware of, those without consumer services are less likely to be mentioned. Policies are difficult to understand and the average time requirement to read both a given site{\guillemotright}s policy and the associated third-party policies exceeds 84 minutes. Only 7% of first-party site policies mention the Do Not Track signal, and the majority of such mentions are to specify that the signal is ignored. Among third-party policies examined, none offer unqualified support for the Do Not Track signal. Findings indicate that current implementations of "notice and choice" fail to provide notice or respect choice
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