A Community That Post Together Stay’s Social Together!
From Connecting to Homophily in Social Media.
Human beings have become so addicted to social media platforms, such as Snap-chat, Twitter, Instagram, and Facebook, with professionals expressing their concern over this trend, especially among the youth. Some of the factors that contribute to feeling connected to social media include the fear of missing out, obsessive-compulsive behavior, and the need to compare ourselves with others (Walrave, et al., 2016). Human beings naturally compare themselves with others and social media provides a platform for people to share the side of their lives that is desirable. Social media connection is desirable because people can avoid the awkwardness of starting conversations, providing new content; moreover, social media websites are available to people of all ages.
The Concept Of Homophily
Homophily can be described as the tendency of people with similar social behaviors to have ties (Humphreys, 2016). Social media has become an infinite space of interactions with new ties being formed in same ways they are formed in the real world. People in social media are friends to those who share similar interests and values. Homophily has various benefits, including aiding in decision making, exchanging ideas, and developing professional networks.
Follow The Rules#Algorithm!
Social media uses algorithm and homophily to introduce new products, news or people who may expand the social networks of others. For instance, if you read or like articles about vehicles on Facebook, more similar articles will appear on your news feed. Connecting helps in getting things started, homophily develops and algorithms help expand the proves even further (Ting, Hong& Wang, 2012). The impact of social media algorithms can result in feelings of a connection, appreciation, and understanding of our similarities. These are some of the potential benefits of the social media.
Humphreys, A. (2016). Social media: Enduring principles.
Ting, I.-H., Hong, T.-P., & Wang, L. S.-L. (2012). Social network mining, analysis, and research trends: Techniques and applications. Hershey, PA: Information Science Reference.
Walrave, M., Ponnet, K., Vanderhoven, E., Haers, J., &Segaert, B. (2016). Youth 2.0: social media and adolescence: Connecting, sharing and empowering.