participation inequality
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2019 ◽  
Vol 5 (3) ◽  
pp. 205630511985668 ◽  
Author(s):  
Colin Porlezza

The Web has changed newswork dramatically. After the turn of the Millennium, the Web 2.0 was welcomed as a unique medium of participation, interaction, and democratization. Due to the increased interactivity of many websites, and the growing prominence of social networking sites such as Facebook that invited the creation and publication of user contributions, many journalism scholars promulgated the potentials of the Web to trigger participation, a new interactivity and, eventually, more transparency, accountability, and responsiveness. In this article, I show how I was equally full of hope that the participatory potential of the Web would become widespread among news organizations. However, recent findings show that most established newsrooms still do not practice what they preach. Even more so, many newsrooms show a participation fatigue, closing user comment sections due to participation inequality or challenging phenomena such as trolls, incivility, or hate-speech. Hence, I do not believe that the majority of legacy news media will further implement accountability practices and strengthen their responsiveness toward their publics. But I still have hope, and this hope comes from entrepreneurial journalism.


2018 ◽  
Vol 22 (4) ◽  
Author(s):  
Fernanda Cesar Bonafini

Massive Open Online Courses (MOOCs) attract thousands of participants who each exercise autonomy by engaging with resources and with other participants to whatever degree they wish. When analyzing participants’ patterns of engagement in MOOCs it is possible to notice that certain participants exhibit high levels of participation, actively engaging with others in forums. This study focuses on characterizing these highly active participants, and understanding their contributions back to the network in a MOOC designed for teachers’ professional development. Connectivism is used as theoretical lens to describe super-posters’ engagement in forums. Data from participants’ demographics, click-data, and forum posts are used to identify these highly active users. Qualitative content analysis is used to categorize the content of their posts, and social network analysis is used to represent their patterns of engagement. Results show that super-posters are generators of engagement, repurposing the content learned from the MOOC and feeding-forward new resources to the network. Super-posters can be seen as representatives of participation inequality in forums. They position themselves as the most prestigious and most influential nodes in the networks created by participants as they engage in forums. In some networks super-posters served as bridges, connecting people from different discussion threads and helping information to flow through the network. This study provides to MOOC designers and MOOC instructors an affordable method to identify and classify super-posters in any MOOC. Findings of this study could be used by MOOC designers and MOOC instructors to develop pedagogical interventions to give these participants a special role in the next MOOC cohort, which may foster engagement in MOOC forums and nurture the cyclical process of learning described in Connectivism. Regarding implications for research, this study attends the need for qualitative methods when analyzing participants’ engagement in MOOC forums and contributes to our knowledge of participation inequality. It also extends the literature of super-posters by showing their characterization in a MOOC focused on teachers’ professional development.


2018 ◽  
Vol 91 (3) ◽  
pp. 242-262 ◽  
Author(s):  
Kelley Fong ◽  
Sarah Faude

School choice policies necessarily impose registration timelines, constraining access to schools of choice for students who register late. Drawing on administrative data, survey data, and interviews with 33 parents in Boston, we find that late registration is common and highly stratified: Nearly half of black kindergarteners miss the first registration deadline, a rate almost three times higher than their white peers, consigning them to the least preferred schools. Contexts of instability and bureaucratic complexity serve as barriers to registering months in advance, and parents describe disengagement from the school system following their late registration. These findings show how despite equal access in theory, bureaucratic structures such as timeline-based lotteries hinder many families, particularly those disadvantaged already, from full participation. Inequality in school choice outcomes and experiences thus results not only from families’ selections, the focus of previous research, but also the misalignment of district bureaucratic processes with family situations.


Author(s):  
Zhijun Wang ◽  
Terry Anderson ◽  
Li Chen

<p class="3">In this research paper, the authors analyse the collected data output during a 36 week cMOOC. Six-week data streams from blogs, Twitter, a Facebook group, and video conferences were tracked from the daily newsletter and the MOOCs’ hashtag (#Change 11). This data was analysed using content analysis and social network analysis within an interpretative research paradigm. The content analysis was used to examine the technology learners used to support their learning while the social network analysis focused on the participant in different spaces and their participation patterns in connectivist learning.</p><p class="3">The findings from this research include: 1) A variety of technologies were used by learners to support their learning in this course; 2) Four types of participation patterns were reveled, including unconnected floaters, connected lurkers, connected participants, and active contributors. The participation of learners displays the participation inequality typical of social media, but the ratio of active contributors is much higher than xMOOCs; 3) There were five basic structures of social networks formed in the learning; and 4) The interaction around topics and topic generation supports the idea of learning as network creation after the analysis of participation patterns that are based on some deep interactive topic. The aim of this study is to gain insight into the behaviors of learners in a cMOOC in an open and distributed online environment, so that future MOOCs designers and facilitators can understand, design and facilitate more effective MOOCs for learners.</p>


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