Daniel Halpern

Social media as a catalyst for online deliberation? Exploring the affordances of Facebook and YouTube for political expression

This manuscript aims to assess the potential of social media as a channel to foster democratic deliberation. It does this by examining whether the types of discussions that citizens maintain in two of the most used social media channels managed by the White House - Facebook and YouTube - meet the necessary conditions for deliberative democracy. For this purpose 7230 messages were analyzed and assessed in terms of indicators developed to evaluate online discourse derived from the work of Habermas. By contrasting social media channels that differ in the affordances of identifiability and networked information access (two traditional predictors of online deliberation), we seek to contribute a deeper understanding of social media and its impact on deliberation. Drawing on the social identification/deindividuation (SIDE) model of computer mediated communication and network theories, we predict that political discussions in Facebook will present a more egalitarian distribution of comments between discussants and higher level of politeness in their messages. Consistent with our theoretical framework, results confirm that Facebook expands the flow of information to other networks and enables more symmetrical conversations among users, whereas politeness is lower in the more anonymous and deindividuated YouTube.

Social network sites, marriage well-being and divorce

We analyze the link between SNS use, marriage well-being and divorce in the U.S.At the state-level, Facebook penetration is associated with increasing divorce rates.At the individual-level, SNS use is negatively correlated with marriage quality.Our results can be explained from either a causal or a self-selection perspective. This study explores the relationship between using social networks sites (SNS), marriage satisfaction and divorce rates using survey data of married individuals and state-level data from the United States. Results show that using SNS is negatively correlated with marriage quality and happiness, and positively correlated with experiencing a troubled relationship and thinking about divorce. These correlations hold after a variety of economic, demographic, and psychological variables related to marriage well-being are taken into account. Further, the findings of this individual-level analysis are consistent with a state-level analysis of the most popular SNS to date: across the U.S., the diffusion of Facebook between 2008 and 2010 is positively correlated with increasing divorce rates during the same time period after controlling for all time-invariant factors of each state (fixed effects), and continues to hold when time-varying economic and socio-demographic factors that might affect divorce rates are also controlled. Possible explanations for these associations are discussed, particularly in the context of pro- and anti-social perspectives towards SNS and Facebook in particular.

Political and Developmental Correlates of Social Media Participation in Government: A Global Survey of National Leadership Websites

This study examines the extent to which national governments are using Web-2.0 applications to increase transparency and engage citizens in decision-making processes. Based on a typology of governmental websites that distinguishes among executive office sites, government web portals and personal websites of heads of government, 160 websites from 82 different countries were examined, and results show that 70 percent of the websites do not offer any participatory services and surprisingly no positive relationships were found between e-participation and variables traditionally associated with e-government implementation. However, a difference between broadband and Internet penetration levels was found: whereas Internet was positively related to e-participation, broadband was only related to the release of information by governments, which is consistent with citizen pressure models of policy change.

One Step, Two Step, Network Step? Complementary Perspectives on Communication Flows in Twittered Citizen Protests

The article analyzes the nature of communication flows during social conflicts via the digital platform Twitter. We gathered over 150,000 tweets from citizen protests for nine environmental social movements in Chile and used a mixed methods approach to show that long-standing paradigms for social mobilization and participation are neither replicated nor replaced but reshaped. In digital platforms, long-standing communication theories, like the 1955 two-step flow model, are still valid, while direct one-step flows and more complex network flows are also present. For example, we show that it is no contradiction that social media participants mainly refer to intermediating amplifiers of communicated messages (39% of the mentions from participants go through this two-step communication flow), while at the same time, traditional media outlets and official protest voices receive 80–90% of their mentions directly through a direct one-step flow from the same participants. While nonintuitive at first sight, Bayes’s theorem allows to detangle the different perspectives on the arising communication channel. We identify the strategic importance of a group of amplifying intermediaries in local positions of the networks, who coexist with specialized voices and professional media outlets at the center of the global network. We also show that direct personalized messages represent merely 20% of the total communication. This shows that the fine-grained digital footprint from social media enables us to go beyond simplistic views of a single all-encompassing step flow model for social communication. The resulting research agenda builds on long-standing theories with a new set of tools.

Attitudes towards robots suitability for various jobs as affected robot appearance

An opinion survey of 878 college students examined attitudes about the suitability of robots for various occupations in society and how these attitudes varied by the robots’ appearance. Factor analyses revealed three primary attitudes: Robot-Liking, Robotphobia and Cyber-Dystopianism, and three occupational niches: social-companionship, surveillance and personal assistants. Attitudes varied depending on subjects’ gender, religion, perceived competence with technologies and engagement with virtual reality environments and avatars. The analysis of relationships between subjects’ attitudes and perception of suitable occupations indicated that Robot-Liking is positively related with social companionship and surveillance occupations, whereas Robotphobia is negatively correlated with the three occupational niches.

The online ideal persona vs. the jealousy effect

A model was developed to explain the negative effects of selfies on relationships.Analysis confirms a partial mediation model through two processes.Jealousy, stemming from excessive individual photos sharing.The emerging of an online ideal persona in the picture-takers mind.These conflicts in turn, reduce perceived quality of the romantic relationships. Drawing on social-psychology and communication theories, we advance a theoretical model to explain the negative effects of selfies on romantic relationships. We suggest that this individualistic use of social media is related to selfie related conflicts between partners through two processes: (1) jealousy, stemming from excessive individual photo-sharing or comments about those pictures, and (2) that, by sharing flattering images of oneself, an online ideal persona is created in the picture-takers mind that diverges from real-life. These conflicts in turn reduce perceived quality of the romantic relationships. To test the model we conducted a two-wave, representative panel survey, separated by one year. Results support a partial mediation model between taking selfies and lower perception of relationship quality, suggesting that both mediators, jealousy and the online ideal persona, have a negative effect on romantic relationship over time.

Blocked: When the information is hidden by the visualization

This study investigated how people comprehend three‐dimensional (3D) visualizations and what properties of such visualizations affect comprehension. Participants were asked to draw the face of a 3D visualization after it was cut in half. We videotaped the participants as they drew, erased, verbalized their thoughts, gestured, and moved about a two‐dimensional paper presentation of the 3D visualization. The videorecords were analyzed using a grounded theory approach to generate hypotheses related to comprehension difficulties and visualization properties. Our analysis of the results uncovered three properties that made problem solving more difficult for participants. These were: (a) cuts that were at an angle in relation to at least one plane of reference, (b) nonplanar properties of the features contained in the 3D visualizations including curved layers and v‐shaped layers, and (c) mixed combinations of layers. In contrast, (a) cutting planes that were perpendicular or parallel to the 3D visualization diagrams planes of reference, (b) internal features that were flat/planar, and (c) homogeneous layers were easier to comprehend. This research has direct implications for the generation and use of 3D information visualizations in that it suggests design features to include and avoid.

In the Company of Robots: Views of Acceptability of Robots in Social Settings

We draw on computer mediated communication (CMC) theories to argue that users’ earlier experiences with online social environments tend to attribute human-like characteristics to robots. Specifically, when users engage in socially-charged electronic environments to interact and communicate electronically with others, they find ways to overcome the relative lack of cues to adapt to the medium. We explore whether users who have more experience using information and communication technologies (ICT), are more likely to recognize humanlike cues in robots. The findings show that avatar engagement and sense of online community have a strong effect on robots acceptance and recognition of human-like characteristics; this is even after accounting for predictors expected to affect attitudes toward robots such as religion, gender, age and robots’ appearance. The chapter ends by exploring the implications of this research for greater social acceptability of robots in various human domains.

Loneliness, personal and social well-being: towards a conceptualization of the effects of cyberbullying / Soledad, bienestar social e individual: hacia una conceptualización de los efectos del cyberbullying

Abstract This paper examines the effects of cyberbullying using a mixed method approach, by combining interviews, focus groups and a survey of 7,000 students. In the inductive stage, and following an axial coding analysis, we identified 153 concepts related to conflicts, which were divided into three thematic units to explain the greater impact of cyberbullying: (1) social distance; (2) privacy exposure; and (3) range of the material. The survey concluded that: (1) the victims of bullying and cyberbullying present higher levels of loneliness and lower levels of social well-being compared to non-bullied students, and those who were bullied in both channels presented higher levels of loneliness and lower levels of social well-being than those who were bullied in only one of them; (2) the victims of cyberbullying showed lower levels of individual well-being compared with those who had never been bullied, as with those who suffered face-to-face bullying. This difference was explained by testimonies indicating that most of the cyberbullying was related to intimate content, which has a higher impact on image perception.

Learning Visualization Strategies: A qualitative investigation

The following study investigates the range of strategies individuals develop to infer and interpret cross-sections of three-dimensional objects. We focus on the identification of mental representations and problem-solving processes made by 11 individuals with the goal of building training applications that integrate the strategies developed by the participants in our study. Our results suggest that although spatial transformation and perspective-taking techniques are useful for visualizing cross-section problems, these visual processes are augmented by analytical thinking. Further, our study shows that participants employ general analytic strategies for extended periods which evolve through practice into a set of progressively more expert strategies. Theoretical implications are discussed and five main findings are recommended for integration into the design of education software that facilitates visual learning and comprehension.