The Internet as Mass Medium

Morris, Margot; Ogan, Christine

doi:10.4324/9781315189772-25

Cited by 23 publications

(35 citation statements)

References 1 publication

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“…While enhancing the framework’s relevance, continued growth and diversification of ICTs brings the challenge of diminishing consistency across media types as well as the emergence of a new set of motivations and uses in light to expand the U&G framework (Ruggiero, 2000). The ICT boom has also led to the reconciliation of some U&G assumptions, such as the assumption about the active nature of media audiences, given that ICT affordances facilitate individualistic and active information seeking and selection (Anderson & Meyer, 1975; Chen, 2015; Dicken-Garcia, 1998; Morris & Ogan, 1996; Newhagen & Rafaeli, 1996; Rayburn, 1996; Ruggiero, 2000; Swanson, 1979).…”

Section: Literature Reviewmentioning

confidence: 99%

A Tale of Four Platforms: Motivations and Uses of Facebook, Twitter, Instagram, and Snapchat Among College Students?

Alhabash

2017

Social Media + Society

524

417

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The current research explores differences between Facebook, Twitter, Instagram, and Snapchat in terms of intensity of use, time spent daily on the platform, and use motivations. The study applies the uses and gratifications (U&G) approach to contrast the four platforms. A cross-sectional survey of college students (N = 396) asked participants to indicate the intensity of using Facebook, Twitter, Instagram, and Snapchat as well as nine different use motivations. Findings show that participants spent the most time daily on Instagram, followed by Snapchat, Facebook, and Twitter, respectively. They also indicated the highest use intensity for Snapchat and Instagram (nearly equally), followed by Facebook and Twitter, respectively. With regard to use motivations, Snapchat takes the lead in five of the nine motivations. Findings are discussed in relation to the U&G approach and uniqueness of different social media and social networking sites (SNSs).

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Section: Literature Reviewmentioning

confidence: 99%

A Tale of Four Platforms: Motivations and Uses of Facebook, Twitter, Instagram, and Snapchat Among College Students?

Alhabash

2017

Social Media + Society

524

417

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“…In the last decade, scholars have agreed that the diversity of choices and the interactive nature of the Internet make it a particularly fertile research site to employ the U&G perspective (December, 1996; LaRose and Eastin, 2004; Morris and Ogan, 1996; Ruggiero, 2000). Compared to other media, the Internet offers a wider range of uses.…”

Section: Literature Reviewmentioning

confidence: 99%

Benefits and harms from Internet use: A differentiated analysis of Great Britain

Blank

Lutz

2016

New Media & Society

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Recent studies have enhanced our understanding of digital divides by investigating outcomes of Internet use. We extend this research to analyse positive and negative outcomes of Internet use in the United Kingdom. We apply structural equation modelling to data from a large Internet survey to compare the social structuration of Internet benefits with harms. We find that highly educated users benefit most from using the web. Elderly individuals benefit more than younger ones. Next to demographic characteristics, technology attitudes are the strongest predictors of online benefits. The harms from using the Internet are structured differently, with educated users and those with high levels of privacy concerns being most susceptible to harm. This runs counter to intuitions based on prior digital divide research, where those at the margins should be most at risk. While previous research on digital inequality has only looked at benefits, the inclusion of harms draws a more differentiated picture.

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“…During the past two decades, we have progressively turned to the Internet and social media to find news, share opinions, and entertain conversations (Morris & Ogan, ; Smith & Brenner, ). What we create and consume on the Internet impacts all aspects of our daily lives, including our political, health, financial, and entertainment decisions.…”

Section: Introductionmentioning

confidence: 99%

Arming the public with artificial intelligence to counter social bots

Yang

Varol

Davis

et al. 2019

Human Behav and Emerg Tech

325

262

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The increased relevance of social media in our daily life has been accompanied by efforts to manipulate online conversations and opinions. Deceptive social bots—automated or semi‐automated accounts designed to impersonate humans—have been successfully exploited for these kinds of abuse. Researchers have responded by developing artificial intelligence (AI) tools to arm the public in the fight against social bots. Here we review the literature on different types of bots, their impact, and detection methods. We use the case study of Botometer, a popular bot detection tool developed at Indiana University, to illustrate how people interact with AI countermeasures. A user experience survey suggests that bot detection has become an integral part of the social media experience for many users. However, barriers in interpreting the output of AI tools can lead to fundamental misunderstandings. The arms race between machine learning methods to develop sophisticated bots and effective countermeasures makes it necessary to update the training data and features of detection tools. We again use the Botometer case to illustrate both algorithmic and interpretability improvements of bot scores, designed to meet user expectations. We conclude by discussing how future AI developments may affect the fight between malicious bots and the public.

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The Internet as Mass Medium

Cited by 23 publications

References 1 publication

A Tale of Four Platforms: Motivations and Uses of Facebook, Twitter, Instagram, and Snapchat Among College Students?

A Tale of Four Platforms: Motivations and Uses of Facebook, Twitter, Instagram, and Snapchat Among College Students?

Benefits and harms from Internet use: A differentiated analysis of Great Britain

Arming the public with artificial intelligence to counter social bots

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