Unfriend or ignore tweets?: A time series analysis on Japanese Twitter users suffering from information overload

Sasaki, Yoko; Kawai, Daisuke; Kitamura, Satoshi

doi:10.1016/j.chb.2016.07.059

Cited by 48 publications

(46 citation statements)

References 19 publications

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“…Sasaki, et al [165] results showed that although users have IO, they are still that friends and that users who have IO change their usage habits so that all tweets are not sent. In short, users choose not a strategy to reduce the absolute number of tweets they receive, but only a strategy that changes the method of processing the tweets they receive.…”

Section: ) Based On the Amount Of Evidencementioning

confidence: 99%

Solution for Information Overload Using Faceted Search–A Review

et al. 2020

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In the modern society, Internet provides massive amounts of heterogeneous information, hence Information overload has become an ubiquitous issue. In this paper, we conduct a large scale quantitative study for articles dealing with (1) information overloading; (2) faceted search; and (3) filtering the data in three major databases, namely, Web of Science, ScienceDirect, and IEEE Explore. These three databases have presented 172 articles, which can be classified into four categories. The first category contains review and survey papers related to information overload. The second category includes papers that concentrate on developing theoretical frameworks to reduce information overloading. The third category contains papers dealing with improving structure or architectural of software for filtering the huge data. The fourth category includes papers that provide criteria to evaluate filtering techniques. Finally, our contribution provides further understanding of information overload, and gives an important basis for future research. Moreover, we illustrate that the dynamic faceted filters are more efficient to reduce the information overload.

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Section: ) Based On the Amount Of Evidencementioning

confidence: 99%

Solution for Information Overload Using Faceted Search–A Review

et al. 2020

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“…Social and information technology overload affect psychological well-being through SNS addiction. Sasaki et al (2016) Number of friends in Twitter.…”

Section: Sns Fatiguementioning

confidence: 99%

“…Additionally, some scholars have tested strategies to prevent IO (Edmunds and Morris, 2000;Paul and Nazareth, 2010). While several studies have explored Twitter users' IO from the perspective of social interaction (Sasaki et al, 2016), relatively few studies investigated how WeChat users' subscription accounts (information gathering motivation) affected their perception of IO and what the consequences were.…”

Section: Sns Fatiguementioning

confidence: 99%

“…1 Prior studies mainly focused on Twitter users' IO (Sasaki et al, 2015). The difference between Twitter and WeChat lies in the fact that on Twitter, the number of tweets received depends on the user's number of friends (social interaction motivation) (Sasaki et al, 2016), while on WeChat, the subscription accounts continually push massive numbers of messages and articles (information gathering motivation) to users. To our knowledge, there have been no investigations of how WeChat subscription accounts affect users' perceptions of IO and what the consequences are.…”

Section: Introductionmentioning

confidence: 99%

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An integrated model of the antecedents and consequences of perceived information overload using WeChat as an example

Zhang

et al. 2020

IJMC

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In recent years, more and more social media users have complained of information overload. In this paper, we obtained data from surveys of users of the multipurpose Chinese social website, WeChat, to develop an integrated model of information overload. The model was used to determine the antecedents and consequences of WeChat users' perceived information overload. A field survey of 244 WeChat users was conducted to test the research model and hypotheses. The results showed the following key findings: 1) the amount of information received and the length of content increased users' perceptions of information overload, while the number of WeChat subscriptions followed was not a significant factor; 2) users' perceptions of information overload were associated with negative emotions and increased intention to discontinue usage; 3) the type and severity of negative emotions and consequent likelihood of discontinuing usage will vary according to the users' different levels of experience. The implications of our results for researchers, website managers and psychosocial practitioners are discussed.

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“…Second and related, an additional conflation resulting from the naturalised link between digitality and sociality, which we wish to challenge, is the dominance of Facebook as the social networking site for digital disengagement. With the exception of a few studies like Sasaki et al (2016) examination of 'unfriending' and processes of digital disengagement on Twitter, very few scholars to date discuss digital disengagement on other social networking platforms such as Instagram, Pinterest, Snapchat, Tinder, Tumblr, Twitter, YouTube or Whatsapp. Even in Light's (2014) work that explores the migration of disconnective practices played out across various social networking platforms, both the results and discussion indicate that Facebook is almost always the starting and comparative reference point where it is presented as the dominant standard of all social networking platforms.…”

Section: Rethinking Digital Disengagement As (Merely) a Social Refusalmentioning

confidence: 99%

The paradox and continuum of digital disengagement: denaturalising digital sociality and technological connectivity

Kuntsman

Miyake

2019

Media, Culture & Society

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This theoretical intervention puts forward a concept of ‘digital disengagement’ to discuss new socio-cultural, economic and political demarcations and implications surrounding the relationship between digital media, culture and society. At present, despite a proliferation of calls to reduce both the range of digital devices and communication platforms, and the time spent using them, and despite a growing body of academic work on disconnection or opt-out, disengagement from the digital is still conceptualised by media research as a spatiotemporal or an ideological aberration. To challenge this framework, we propose a paradigmatic shift. We invite digital media scholarship to denaturalise the digital by centring digital disengagement both as a complex phenomenon currently unfolding and as a conceptual entry point into thinking about sociality, agency, rights and everyday life more broadly. Mobilising digital disengagement as a theoretical lens, our piece provides the following: first, we critically assess the prevalent conflation of digitality with social networking, which leads to a limited understanding of disengagement as being only about disconnecting from social media platforms. Second, we challenge the normalisation of the technological in practices of disconnection, arguing instead that disengagement might be structured, but should not be determined, by the technological. Third, we demonstrate that digital disengagement is not a single phenomenon but a complex continuum of practices, motivations and effects. Understood as such, it has the potential to open new ways of imagining relations between technologies and freedoms, engagement and digitality and sociality and refusal.

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Unfriend or ignore tweets?: A time series analysis on Japanese Twitter users suffering from information overload

Cited by 48 publications

References 19 publications

Solution for Information Overload Using Faceted Search–A Review

Solution for Information Overload Using Faceted Search–A Review

An integrated model of the antecedents and consequences of perceived information overload using WeChat as an example

The paradox and continuum of digital disengagement: denaturalising digital sociality and technological connectivity

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