159,285 research outputs found
Emotions, Demographics and Sociability in Twitter Interactions
The social connections people form online affect the quality of information
they receive and their online experience. Although a host of socioeconomic and
cognitive factors were implicated in the formation of offline social ties, few
of them have been empirically validated, particularly in an online setting. In
this study, we analyze a large corpus of geo-referenced messages, or tweets,
posted by social media users from a major US metropolitan area. We linked these
tweets to US Census data through their locations. This allowed us to measure
emotions expressed in the tweets posted from an area, the structure of social
connections, and also use that area's socioeconomic characteristics in
analysis. %We extracted the structure of online social interactions from the
people mentioned in tweets from that area. We find that at an aggregate level,
places where social media users engage more deeply with less diverse social
contacts are those where they express more negative emotions, like sadness and
anger. Demographics also has an impact: these places have residents with lower
household income and education levels. Conversely, places where people engage
less frequently but with diverse contacts have happier, more positive messages
posted from them and also have better educated, younger, more affluent
residents. Results suggest that cognitive factors and offline characteristics
affect the quality of online interactions. Our work highlights the value of
linking social media data to traditional data sources, such as US Census, to
drive novel analysis of online behavior.Comment: International Conference on the Web and Social Media (ICWSM2016
Two Types of Social Grooming Methods depending on the Trade-off between the Number and Strength of Social Relationships
Humans use various social bonding methods known as social grooming, e.g. face
to face communication, greetings, phone, and social networking sites (SNS). SNS
have drastically decreased time and distance constraints of social grooming. In
this paper, I show that two types of social grooming (elaborate social grooming
and lightweight social grooming) were discovered in a model constructed by
thirteen communication data-sets including face to face, SNS, and Chacma
baboons. The separation of social grooming methods is caused by a difference in
the trade-off between the number and strength of social relationships. The
trade-off of elaborate social grooming is weaker than the trade-off of
lightweight social grooming. On the other hand, the time and effort of
elaborate methods are higher than lightweight methods. Additionally, my model
connects social grooming behaviour and social relationship forms with these
trade-offs. By analyzing the model, I show that individuals tend to use
elaborate social grooming to reinforce a few close relationships (e.g. face to
face and Chacma baboons). In contrast, people tend to use lightweight social
grooming to maintain many weak relationships (e.g. SNS). Humans with
lightweight methods who live in significantly complex societies use various
social grooming to effectively construct social relationships.Comment: Accepted by Royal Society Open Scienc
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