Is Aggression Contagious Online? A Case of Swearing on Donald Trump’s Campaign Videos on YouTube

This study explores whether aggressive text-based interactions in social media are contagious. In particular, we examine swearing behaviour of YouTube commentators in response to videos and comments posted on the official Donald Trump’s campaign channel. Our analysis reveals the presence of mimicry of verbal aggression. Specifically, swearing in a parent comment is significantly and positively associated with the likelihood and intensity of swearing in subsequent ‘children’ comments. The study also confirms that swearing is not solely a product of an individual speech habit but also a spreadable social practice. Based on the findings, we conclude that aggressive emotional state can be contagious through textual mimicry.

Cross-National Proximity in Online Social Network and Protest Diffusion: An Event History Analysis of Arab Spring

This study examines the role of online social network proximity in cross-national diffusion of offline protests. Drawn upon Valente’s (1995) network diffusion model, the study operationalizes social network proximity-based protest exposure, using the international Facebook friendship share data. One year-long onsite protests during Arab Spring 2011 are examined using event history modeling. The findings offer evidence of an contemporaneous online network exposure effect on cross-national diffusion of protests. An expected lagged diffusion effect was not found, however. The paper presents an innovative approach to the scholarship of global protest diffusion and collective actions.

Mobilizing Consensus on Facebook: Networked Framing of the U.S. Gun-Control Movement on Facebook

This study draws on networked framing and intermedia network agenda-setting theories to examine how different informational actors have framed the March for Our Lives gun control movement in 2018. This study uses the Social Science One Facebook URLs share dataset to compare network-agenda setting of different media types including offline news media, partisan sites, nonpartisan sites, advocacy/activism organizations, and social media/aggregate services. Results suggest that news media’s framing was the richest and most dynamic, suggesting their important roles in setting the gun issue as a salient public agenda. Meanwhile, emerging media expanded the scope of framing by covering race, gender, and equity issues into gun politics. The movement/activist organizational actors showed the least similarity to other media types, inviting further questions on the role of movement/activist actors in shaping public attention and agendas in the process

Audience Gatekeeping in the Twitter Service: An Investigation of Tweets about the 2009 Gaza Conflict

Twitter is a social news service in which information is selected and distributed by individual members of the tweet audience. While communication literature has studied traditional news media and the propagation of information, to our knowledge there have been no studies of the new social media and their impacts on the propagation of news during extreme event situations. This exploration attempts to build an understanding of how preexisting hyperlink structures on the Web and different types of information channels affect Twitter audiences’ information selection. The study analyzes the concentration of user-selected information sources in Twitter about the 2009 Israel-Gaza conflict. There are three findings. First, a statistical test of a power-law structure revealed that, while a wide range of information was selected and redistributed by Twitter users, the aggregation of these selections over-represented a small number of prominent websites. Second, binomial regression analyses showed that Twitter user selections were not constituted randomly but were affected by the number of hyperlinks received and the types of information channels. Third, temporal analyses revealed that sources via social media channels were more prominently selected especially in the later stages of the news information lifespan

Knowledge Sharing Network in a Community of Illicit Practice: A Cybermarket Subreddit Case

Often neglected in the literature about communities of practice is the fact that online knowledge-sharing communities thrive among illicit collectives whose activities are stigmatized or outlawed. This paper focuses on a knowledge-sharing community of users who engage in illegal practices by examining the ways in which the community’s network structure changes when a high-stakes, uncertain event—the July 2017 shutdown of the dark web market Alphabay—occurs. This study compares the discussion network structures in the subreddit r/AlphaBay during pre-shutdown days (the “routine” period) and shutdown days (the “market defect” period) and offers a content analysis of the knowledge and resources shared by users during these periods. Several differences were observed: (a) the network structure changed such that the network size grew while becoming more centralized; (b) new crisis-specific players emerged; (c) types of knowledge shared during the market defect period was qualitatively different from the routine period

An Unequal Pandemic: Vulnerability and COVID-19

This collection sheds light on the cascading crises engendered by COVID-19 on many aspects of society from the economic to the digital. This issue of the American Behavioral Scientist brings together scholarship examining the various ways in which many vulnerable populations are bearing a disproportionate share of the costs of COVID-19. As the articles bring to light, the unequal effects of the pandemic are reverberating along preexisting fault lines and creating new ones. In the economic realm, the rental market emerges during the pandemic as an economic arena of heightened socio-spatial and racial/ethnic disparities. Financial markets are another domain where market mechanisms mask the exploitative relationships between the economically vulnerable and powerful actors. Turning to gender inequalities, across national contexts, women represent an increasingly vulnerable segment of the labor market as the pandemic piles on new burdens of remote schooling and caregiving despite a variety of policy initiatives. Moving from the economic to the digital domain, we see how people with disabilities employ social media to mitigate increased vulnerability stemming from COVID-19. Finally, the key effects of digital vulnerability are heightened because the digitally disadvantaged experience not only informational inequalities but also aggravated bodily manifestations of stress or anxiety related to the pandemic. Each article contributes to our understanding of the larger mosaic of inequality that is being exacerbated by the pandemic. By drawing connections between these different aspects of the social world and the effects of COVID-19, this issue of American Behavioral Scientist advances our understanding of the far-reaching ramifications of the pandemic on vulnerable members of society

Introduction to the 2019 International Conference on Social Media & Society

This paper provides an introduction to the Proceedings of the 2019 International Conference on Social Media and Society (#SMSociety). The conference is an annual gathering of leading social media researchers, policy makers, and practitioners from around the world. Now in its 10th year, the 2019 conference is hosted by the Social Media Lab at the Ted Rogers School of Management at Ryerson University in Toronto, Canada. The Proceedings features a total of 26 papers (the acceptance rate is 42%)

Cascading Crises: Society in the Age of COVID-19

The tsunami of change triggered by the COVID-19 pandemic has transformed society in a series of cascading crises. Unlike disasters that are more temporarily and spatially bounded, the pandemic has continued to expand across time and space for over a year, leaving an unusually broad range of second-order and third-order harms in its wake. Globally, the unusual conditions of the pandemic—unlike other crises—have impacted almost every facet of our lives. The pandemic has deepened existing inequalities and created new vulnerabilities related to social isolation, incarceration, involuntary exclusion from the labor market, diminished economic opportunity, life-and-death risk in the workplace, and a host of emergent digital, emotional, and economic divides. In tandem, many less advantaged individuals and groups have suffered disproportionate hardship related to the pandemic in the form of fear and anxiety, exposure to misinformation, and the effects of the politicization of the crisis. Many of these phenomena will have a long tail that we are only beginning to understand. Nonetheless, the research also offers evidence of resilience on several fronts including nimble organizational response, emergent communication practices, spontaneous solidarity, and the power of hope. While we do not know what the post COVID-19 world will look like, the scholarship here tells us that the virus has not exhausted society’s adaptive potential

Modelling of the effect of ELMs on fuel retention at the bulk W divertor of JET

Effect of ELMs on fuel retention at the bulk W target of JET ITER-Like Wall was studied with multi-scale calculations. Plasma input parameters were taken from ELMy H-mode plasma experiment. The energetic intra-ELM fuel particles get implanted and create near-surface defects up to depths of few tens of nm, which act as the main fuel trapping sites during ELMs. Clustering of implantation-induced vacancies were found to take place. The incoming flux of inter-ELM plasma particles increases the different filling levels of trapped fuel in defects. The temperature increase of the W target during the pulse increases the fuel detrapping rate. The inter-ELM fuel particle flux refills the partially emptied trapping sites and fills new sites. This leads to a competing effect on the retention and release rates of the implanted particles. At high temperatures the main retention appeared in larger vacancy clusters due to increased clustering rate

Velocity-space sensitivity of the time-of-flight neutron spectrometer at JET

The velocity-space sensitivities of fast-ion diagnostics are often described by so-called weight functions. Recently, we formulated weight functions showing the velocity-space sensitivity of the often dominant beam-target part of neutron energy spectra. These weight functions for neutron emission spectrometry (NES) are independent of the particular NES diagnostic. Here we apply these NES weight functions to the time-of-flight spectrometer TOFOR at JET. By taking the instrumental response function of TOFOR into account, we calculate time-of-flight NES weight functions that enable us to directly determine the velocity-space sensitivity of a given part of a measured time-of-flight spectrum from TOFOR