scholarly journals Learning in the wild: coding for learning and practice on Reddit

2021 ◽  
Author(s):  
Caroline Haythornthwaite ◽  
Priya Kumar ◽  
Anatoliy Gruzd ◽  
Sarah Gilbert ◽  
Marc Esteve Del Valle ◽  
...  

Learning on and through social media is becoming a cornerstone of lifelong learning, creating places not only for accessing information, but also for finding other self-motivated learners. Such is the case for Reddit, the online news sharing site that is also a forum for asking and answering questions. We studied learning practices found in ‘Ask’ subreddits AskScience, Ask_Politics, AskAcademia, and AskHistorians to develop a coding schema for informal learning. This paper describes the process of evaluating and defining a workable coding schema, one that started with attention to learning processes associated with discourse, exploratory talk, and conversational dialogue, and ended with including norms and practices on Reddit and the support of communities of inquiry. Our ‘learning in the wild’ coding schema contributes a content analysis schema for learning through social media, and an understanding of how knowledge, ideas, and resources are shared in open, online learning forums. Keywords: informal learning, social media, coding, content analysis, Reddit

2021 ◽  
Author(s):  
Caroline Haythornthwaite ◽  
Priya Kumar ◽  
Anatoliy Gruzd ◽  
Sarah Gilbert ◽  
Marc Esteve Del Valle ◽  
...  

Learning on and through social media is becoming a cornerstone of lifelong learning, creating places not only for accessing information, but also for finding other self-motivated learners. Such is the case for Reddit, the online news sharing site that is also a forum for asking and answering questions. We studied learning practices found in ‘Ask’ subreddits AskScience, Ask_Politics, AskAcademia, and AskHistorians to develop a coding schema for informal learning. This paper describes the process of evaluating and defining a workable coding schema, one that started with attention to learning processes associated with discourse, exploratory talk, and conversational dialogue, and ended with including norms and practices on Reddit and the support of communities of inquiry. Our ‘learning in the wild’ coding schema contributes a content analysis schema for learning through social media, and an understanding of how knowledge, ideas, and resources are shared in open, online learning forums. Keywords: informal learning, social media, coding, content analysis, Reddit


2021 ◽  
Author(s):  
Priya Kumar ◽  
Anatoliy Gruzd ◽  
Caroline Haythornthwaite ◽  
Sarah Gilbert ◽  
Marc Esteve del Valle ◽  
...  

This paper introduces a ‘learning in the wild’ coding schema, an approach developed to support learning analytics researchers interested in understanding the different types of discourse, exploratory talk, and conversational dialogue happening on social media. The research examines how learner-participants (‘Redditors’) are leveraging subreddit communities to facilitate self-directed informal learning practices on the social networking site. The coding schema is tested and applied across four ‘Ask’ subreddit communities (‘AskHistorians’, ‘Ask_Politics’, ‘askscience’, ‘AskAcademia’). The research brings attention to how knowledge, ideas, and resources are being shared and supported outside the confines of traditional education and professional environments.


2021 ◽  
Author(s):  
Priya Kumar ◽  
Anatoliy Gruzd

Open, online environments like social media are now a mainstay of life-long informal learning. Social media like Twitter help people gather information, share resources, and discuss with other participant-learners with similar interests. This paper seeks to test and validate the ‘learning in the wild’ coding schema in the context of discussions on Twitter, an approach first developed for studying learning communities on Reddit. The schema considers how participant-learners are leveraging social media to facilitate self-directed informal learning practices, exploratory dialogue, and communicative exchanges. We apply the coding schema on a sample of tweets (n=594) from the History Twittersphere community (#Twitterstorians) to provide a more nuanced understanding of the different kinds of discursive practices, resource exchanges, and ideas being shared and communicated outside traditional classroom settings.


2021 ◽  
Author(s):  
Priya Kumar ◽  
Anatoliy Gruzd

Open, online environments like social media are now a mainstay of life-long informal learning. Social media like Twitter help people gather information, share resources, and discuss with other participant-learners with similar interests. This paper seeks to test and validate the ‘learning in the wild’ coding schema in the context of discussions on Twitter, an approach first developed for studying learning communities on Reddit. The schema considers how participant-learners are leveraging social media to facilitate self-directed informal learning practices, exploratory dialogue, and communicative exchanges. We apply the coding schema on a sample of tweets (n=594) from the History Twittersphere community (#Twitterstorians) to provide a more nuanced understanding of the different kinds of discursive practices, resource exchanges, and ideas being shared and communicated outside traditional classroom settings.


2021 ◽  
Author(s):  
Priya Kumar ◽  
Anatoliy Gruzd ◽  
Caroline Haythornthwaite ◽  
Sarah Gilbert ◽  
Marc Esteve del Valle ◽  
...  

This paper introduces a ‘learning in the wild’ coding schema, an approach developed to support learning analytics researchers interested in understanding the different types of discourse, exploratory talk, and conversational dialogue happening on social media. The research examines how learner-participants (‘Redditors’) are leveraging subreddit communities to facilitate self-directed informal learning practices on the social networking site. The coding schema is tested and applied across four ‘Ask’ subreddit communities (‘AskHistorians’, ‘Ask_Politics’, ‘askscience’, ‘AskAcademia’). The research brings attention to how knowledge, ideas, and resources are being shared and supported outside the confines of traditional education and professional environments.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benny Nuriely ◽  
Moti Gigi ◽  
Yuval Gozansky

Purpose This paper aims to analyze the ways socio-economic issues are represented in mainstream news media and how it is consumed, understood and interpreted by Israeli young adults (YAs). It examines how mainstream media uses neo-liberal discourse, and the ways YAs internalize this ethic, while simultaneously finding ways to overcome its limitations. Design/methodology/approach This was a mixed methods study. First, it undertook content analysis of the most popular Israeli mainstream news media among YAs: the online news site Ynet and the TV Channel 2 news. Second, the authors undertook semi-structured in-depth interviews with 29 Israeli YAs. The analysis is based on an online survey of 600 young Israelis, aged 18–35 years. Findings Most YAs did not perceive mainstream media as enabling a reliable understanding of the issues important to them. The content analysis revealed that self-representation of YAs is rare, and that their issues were explained, and even resolved, by older adults. Furthermore, most of YAs' problems in mainstream news media were presented using a neo-liberal perspective. Finally, from the interviews, the authors learned that YAs did not find information that could help them deal with their most pressing economic and social issue, in the content offered by mainstream media. For most of them, social media overcomes these shortcomings. Originality/value Contrary to research that has explored YAs’ consumerism of new media outlets, this article explores how YAs in Israel are constructed in the media, as well as the way in which YAs understand mainstream and new social media coverage of the issues most important to them. Using media content analysis and interviews, the authors found that Young Adults tend to be ambivalent toward media coverage. They understand the lack of media information: most of them know that they do not learn enough from the media. This acknowledgment accompanies their tendency to internalize the neo-liberal logic and conservative Israeli national culture, in which class and economic redistribution are largely overlooked. Mainstream news media uses neo-liberal discourse, and young adults internalize this logic, while simultaneously finding ways to overcome the limitations this discourse offers. They do so by turning to social media, mainly Facebook. Consequently, their behavior maintains the logic of the market, while also developing new social relations, enabled by social media.


2020 ◽  
Author(s):  
Sagit Bar-Gill ◽  
Yael Inbar ◽  
Shachar Reichman

The digitization of news markets has created a key role for online referring channels. This research combines field and laboratory experiments and analysis of large-scale clickstream data to study the effects of social versus nonsocial referral sources on news consumption in a referred news website visit. We theorize that referrer-specific browsing modes and referrer-induced news consumption thresholds interact to impact news consumption in referred visits to an online newspaper and that news sharing motivations invoked by the referral source impact sharing behavior in these referred visits. We find that social media referrals promote directed news consumption—visits with fewer articles, shorter durations, yet higher reading completion rates—compared with nonsocial referrals. Furthermore, social referrals invoke weaker informational sharing motivations relative to nonsocial referrals, thus leading to a lower news sharing propensity relative to nonsocial referrals. The results highlight how news consumption changes when an increasing amount of traffic is referred by social media, provide insights applicable to news outlets’ strategies, and speak to ongoing debates regarding biases arising from social media’s growing importance as an avenue for news consumption. This paper was accepted by Anandhi Bharadwaj, information systems.


Corpora ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. 227-257 ◽  
Author(s):  
Monika Bednarek

The sharing of news through social media platforms is now a significant part of mainstream online media use and is an increasingly important consideration in journalism practice and production. This paper analyses the linguistic characteristics of online news sharing on Facebook, with a focus on evaluation and news values in a corpus of the 100 ‘most shared’ news items from ‘heritage’ English-language news media organisations. Analyses combine corpus linguistic techniques (semantic tagging, frequency analysis, concordancing) with manual, computer-aided annotation. The main focus is on discursive news values analysis (DNVA), which examines how news values are established through semiotic resources, enabling new empirical insights into shared news and adding a specific linguistic focus to the emerging literature on news sharing. Results suggest that all ‘traditional’ news values appear to be construed in the shared news corpus and that there is variety in terms of the items that are widely shared. At the same time, the news values of Eliteness, Superlativeness, Unexpectedness, Negativity and Timeliness seem especially important in the corpus. The findings also indicate that ‘unexpected’ and ‘affective’ news items may be shared more, and that Negativity is a more important news value than Positivity.


2015 ◽  
Vol 40 (3) ◽  
Author(s):  
Anders Olof Larsson ◽  
Moe Hallvard

AbstractOnline news sites have become an internet ‘staple’, but we know little of the forces driving the popularity of such sites in relation to what could be understood as the latest iteration of the web – social media services. This research in brief article discusses empirical results regarding the uses of Twitter for news sharing. Specifically, we present a comparative analysis of links emanating from the service at hand to a series of media outlets over a six-month period in two countries; Sweden and Norway. Focusing on linking practices among highly active Twitter accounts, we problematize the assumption that online communication involves two or more humans by directing attention to more or less automated ‘bot’ accounts. In sum, it is suggested that such automated accounts need to be dealt with more explicitly by researchers as well as practitioners interested in the popularity of online news as expressed through social media activity.


2021 ◽  
Vol 7 (2) ◽  
pp. 205630512110090
Author(s):  
Taberez Ahmed Neyazi ◽  
Antonis Kalogeropoulos ◽  
Rasmus K. Nielsen

The rise of misinformation often circulated in various social media platforms has not only raised concerns among the policymakers and civil society groups, but also among citizens. Drawing upon a cross-sectional survey ( n = 1,013) among English-language internet users in India, this paper tries to identify factors that affect concerns for online misinformation among citizens and how online news participation is affected by the rise of misinformation. After controlling for gender, age, education and income, we found that WhatsApp use, party identification and trust in news are positively associated with the concern for misinformation. Similarly, partisans are more likely to engage with news online. While Facebook and Twitter use are positively associated with online news sharing, the use of WhatsApp is not significant. The empirical evidence adds new insights to the literature on misinformation and online news engagement from the world’s largest democracy.


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