Paper Review of a longitudinal study of core networks in Kerala (2011) by Antony Palackal, Paul Nyaga Mbatia, Dan-Bright Dzorgbo, Ricardo B. Duque, Marcus Antonius Ynalvez, and Wesley M. Shrum. A nice PDF version of the review is also available.
The paper
Interviews of people from both professional and informal sectors of Kerala were conducted in 2002 and 2007. Given that Kerala had the highest proportion of mobile usage in India, we could ignore the limitations of microsociological effects. Another appealing aspect of Kerala is the already existing strong connectivity, owing to a large number of Malayalis who work in the Middle East. This enables us to look at mobiles as devices that add a layer of mobility, instead of the traditional view that mobiles provide connectivity in developing countries. The interview questionnaire asked for the location of core nets, mode and frequency of interaction among other things. The advantage of enquiring about core nets is that they would mostly remain the same across time, and would lead to unambiguous answers. It was observed that the size of core nets decreased over time and the proportion of friend/family nets increased over work nets. The authors attribute these observations to the positive network effects of mobile technology rather than social change (say, urbanization) as communication is central to strong ties and new modes of communication greatly affect these ties. The authors thus reify that periodic evaluation of technology is necessary to measure its social impact.
Morley's 1986 study of family hearths
The warmth that these technological hearths provide has led to the formation of echo chambers, and there are possible political manipulations too. We’ve seen how Cambridge Analytica easily mapped the characteristics of close friends of individuals based on the questions these individuals have answered. While they could achieve only approximate models of friends, their assumption that strong ties behave similarly turned out to be pretty accurate. There are models used by other tech companies that rely on the similarity between the members associated via strong ties - like Netflix predicting a similar set of movies to both the husband account and the wife account. Palackal et al.’s work clear up that this is not just solely the power of algorithms that crunch the data, but also the technology itself that encourages strong ties. Various recommender systems rely on the similarity of strong ties and the fact that technology keeps them in constant communication ensures that these similarities won’t change drastically over time, making it easier to model ( think feedback loops ).
Marshall McLuhan said that technology itself shapes and controls the scale
and form of human association
So essentially, we are reverting to a previous structure. We’ve seen in
Davis and Chouinard’s Affordance Theory
Let us take a look at Karen Evans' 2013 excerpt
The trends of bounded solidarity are observed on social media too. I mostly interact only with my wingmates on a Messenger group, instead of interacting with a wider audience via Facebook. My offline interactions include talking to wingmates in their rooms, corridors or canteens, and it turns out my online interactions are dominated by chatting with wingmates too. The chat group somewhat transfers me to my wing, even if I am at some other location, thereby drying up any potential to form weak ties with people in the present location. When I started a Twitter account, I shared my thoughts via tweets with a wide audience, but eventually, I interacted more with a particular group of anonymous people. We exchanged numbers and created a WhatsApp group. From then on, my activity on Twitter greatly reduced, and what could’ve been potential tweets landed as texts on the group. There is a tendency to move towards platforms where strong ties are encouraged, as we value and cherish our strong ties more than the weak ones (offline or online). On the whole, we are catering to a nanoaudience instead of a global audience.
There are some perils of interacting only with strong ties. People find it difficult to participate in small talks with strangers and handle the gaucherie involved. It leads to the formation of echo chambers, leaving no scope for introspection. Inappropriate behavior is normalized, and you won’t be questioned on the same . It is easy to develop information cascades and with strong network effects at play, we become extremely vulnerable to external agents that try to control our choices. Governments are trying to curb data flow to tech companies to ensure that such manipulation of users is ceased. While it is a laudable move, the findings of Palackal et al. show that mobile technologies themselves promote strong ties, which in turn act as precursors to echo chambers. If not by mining data, there could be other ways to manipulate users given they are stuck in such narrow ties. Maybe the paper provides a pointer to escape echo chambers - let’s create technology to encourage more non-local and weak ties.
The article was prepared using the Distill Template
I wrote this article as a part of the course SOC473: New Media Theory by Prof. Jillet Sarah Sam
If you see mistakes or want to suggest changes, please contact me