EdTechie dumbr

In a new study of crowd wisdom — the statistical phenomenon by which individual biases cancel each other out, distilling hundreds or thousands of individual guesses into uncannily accurate average answers — researchers told test participants about their peers’ guesses. As a result, their group insight went awry.

Social networks tend to disproportionally favor connections between individuals with either similar or dissimilar characteristics. This propensity, referred to as assortative mixing or homophily, is expressed as the correlation between attribute values of nearest neighbour vertices in a graph. Recent results indicate that beyond demographic features such as age, sex and race, even psychological states such as “loneliness” can be assortative in a social network. In spite of the increasing societal importance of online social networks it is unknown whether assortative mixing of psychological states takes place in situations where social ties are mediated solely by online networking services in the absence of physical contact. Here, we show that general happiness or Subjective Well-Being (SWB) of Twitter users, as measured from a 6 month record of their individual tweets, is indeed assortative across the Twitter social network. To our knowledge this is the first result that shows assortative mixing in online networks at the level of SWB. Our results imply that online social networks may be equally subject to the social mechanisms that cause assortative mixing in real social networks and that such assortative mixing takes place at the level of SWB. Given the increasing prevalence of online social networks, their propensity to connect users with similar levels of SWB may be an important instrument in better understanding how both positive and negative sentiments spread through online social ties. Future research may focus on how event-specific mood states can propagate and influence user behavior in “real life”.

reater numbers of instructors are turning to social networking sites to communicate with students. This study examined whether posting social, scholarly, or a combination of social and scholarly information to Twitter has an impact on the perceived credibility of the instructor. Participants were assigned to one of three groups: a group that viewed social tweets, one that viewed scholarly tweets, and one that viewed a combination of social and scholarly tweets. Participants were then asked questions about the instructor’s perceived credibility. Results show that participants who viewed only the social tweets rated the instructor significantly higher in perceived credibility than the group that viewed only the scholarly tweets. No other significant differences were found among the groups. These results have implications for both teaching and learning, as there is an established link between perceived instructor credibility and positive learning outcomes.

This paper deals with the role of reciprocation in the formation of individuals’ social networks, that is to what extent initiating a relation brings about its reciprocation. Following the activity of a panel of bloggers over more than a year, we seek to establish whether bloggers are mainly involved in social networking or are part of the media industry. We adapt a standard capital investment model to study the effect of reciprocation on the building of social capital. Results of our analysis confirm that activity and reciprocation both play a role in the dynamics of social media.

The impact of social networks on lives of the majority of young adults has been enormous, although their impact on education is less well understood. Some consideration has been give to the role Facebook plays in higher education and in the transition from secondary to tertiary education, but little analysis has been conducted on the role of the microblogging social network Twitter. By examining the use made of this service by two cohorts of students, this study found that Twitter is easy for students to use and popular with the majority once they have experience with it. For this study different patterns of use between individuals in the study and between the two different student cohorts were observed, as was the emergence of informal online peer support networks. The results of this study suggest models for future use of microblogging services.