Showing posts with label new media. Show all posts
Showing posts with label new media. Show all posts

Wednesday, 29 February 2012

Social Capital vs. Internet: Are They at Odds?

The following is a post by WVU Communication Studies M.A. Students Betsy Ditrinco and Jennifer Seifert

Incredible advancements in technology coupled with growing technological adoption rates render the discussion of social capital and technology timely and salient.  Some suggest that technology might weaken our relationships while others suggest it creates and maintains ties in a fashion never before possible.  In exploring the relationship between social capital and the Internet, we argue that Internet is a worldwide network of weak ties which facilitate the sharing of novel information between groups and that the Internet and Social Capital are not at odds.

In his seminal work “The Strength of Weak Ties,” Granovetter (1973), asserts that interpersonal ties create a macro-micro link between small-scale interaction and large-scale patterns of political and community organization.  Granovetter (1973) defines the strength of an interpersonal tie as “the amount of time, the emotional intensity, the intimacy, and the reciprocal services which characterize the tie” (p. 1361) and characterizes ties as strong, weak, or absent. The diagram below represents the ties between several individuals. Person A and Person B are strongly connected; therefore, their networks and the information they share should be very similar. However, these strong ties are generally closed systems without new information and, similar to biological frameworks, when an ecosystem goes without resources from the environment, it will not grow.

Granovetter (1973) suggests that we need to rely on our weak ties for outside resources. Therefore, a weak tie (Person C), with weak and strong ties to others, can introduce new and unique information into the closed system of Person A and Person B.  Although this discussion is an incredibly simplified explanation of both Graovetter’s (1973) work and network analysis in general, the impact technology has on the communication of information is still evident.

Accepting the assertion that internet technologies create a worldwide network of weak ties has incredible implications.  For the first time, our technological society has the ability to not only share information through our unprecedented amount of weak ties, but also to express ideas to strangers (to individuals in which a tie is previously nonexistent). For instance, Person A and Person B may be having a discussion on Twitter which Person C, D, and E stumble upon. By searching for key words that are of interest to them- potentially spreading the message in a more rapid, unpredictable pattern.  The Internet has become a place of discourse in modern society but, many argue this has societal consequences.

In the early days of Internet accessibility to the general public, there were concerns that adaption of technology would result consequently recede from social involvement. For instance, Putnam (2000) in Bowling Alone discusses the concept of social capital (the networks of relationships based on cooperation, trust, and reciprocity). He argues that traditional mass media, because it is highly individualized and consumed in isolation, has contributed to the erosion of civic and community engagement that is integral to the development and maintenance of social capital.  His argument is based on television usage; however, one can see how his arguments centering on television (i.e., individualized and isolated consumption) have application to internet usage.  Yet, current data suggest the internet does not represent the decline social interaction.  In a longitudinal study of internet usage, Katz, Rice, and Aspden (2001), found that internet use is associated with increased socialability, increased face-to-face meetings with friends, and not associated with a decrease in time spent with family and friends. These findings suggest individuals who use the Internet regularly are still interacting on a social level and  that the use of Internet doesn’t mark the end of the relational ties. To the contrary, mediated communication might help us maintain our relationships near and far.



Saturday, 25 February 2012

Developing an online version of Popnvics PICS for understanding digital relationships (COMM MIL research note)

In my recent research, I've been trying to get more into understanding the psychological dimensions of online relationships - particularly in terms of perceived closeness. I have a great respect for network analysis research that provides insight into the density of social networks, but I feel that this data at times is a bit 'cold' and assumes rather mechanistically and deterministically that we can understand the Gestalt of an interpersonal relationship merely by examining connections and communication frequency. While of course much social media research (including my own) is often more interested in connections over people, I'm trying to come up with novel ways in which to understand perceived closeness - that is, irrespective of one's location in my social media network (i.e. being proximal or more distal to myself as a node) or my communication frequency with another, what is my perception of your closeness to me?*

In looking for metrics, I came across the Perceived Interpersonal Closeness Scale developed by Popovics et al (2003) (.pdf here). They present an assessment of a graphical measure of perceived interpersonal closeness, conceptualized as (taken from the introduction of their publication):
During recent decades researchers and clinicians have shown an interest in studying and measuring closeness-related constructs, some of it in this journal (e.g. Timmerman, Emanuels-Zuurveen, & Emmelkamp, 2000). Sarason, Shearin, Pierce and Sarason (1987) defined the common factor underlying measures of perceived social support as ‘the extent to which an individual is accepted, loved and involved in relationships in which communication is open’ (p. 830). It is suggested that this core factor is interpersonal, socio-emotional closeness, a basic component and function of social support. Closeness, explicitly linked with a closeness–distance model of relationship is a richer and broader term than intimacy (Marks & Floyd, 1996).
Their paper outlines a (rather elegant) argument in defense of their graphical measure of this construct, which essentially asks respondents to place relational partners onto a "bulls-eye" style map, with those individuals placed closer to the center as being more (perceptually) close to the respondent. Their data support and validate this measure, and while I haven't seen it's application much in other areas of research, I find it both inspiring and parsimonious.

So, how do we get this measure online? My first attempt (context, this is a study on brand propinquity hence the "brand name" in parentheses):

Before we move to the next section of the survey, we want to ask you one more question about your relationship with (brand name). Below you will see an image of a target that represents how close you are with different individuals in your daily life. Using this target, we’d like you to tell us how close you currently feel to them by marking the relevant answer from the bulls-eye below. To select an answer, choose the red number in the ring of the bulls-eye that best represents how close you feel to (brand name). You can make your selection by using the drop-down list provided.

Thoughts? I need to work on the presentation quality a bit - looking into coding a Flash-based version in which respondents could 'click and drag' from a list of friends, entities, or any other individual units of analysis and snap them to the bulls-eye graphic. I'm also considering a second layer of interaction where individuals might draw perceptions of the connected-ness between the entities on the map (but that's for another time); in effect, a perceived network density map that could be compared with the more objective measures of network density gleaned from social media data.

Reference:

Popovics, M., Milne, D., & Barrett, P. (2003). The scale of perceived interpersonal closeness (PICS). Clinical Psychology and Psychotherapy, 10, 286-301. [.pdf]

*Of course, I recognize that perceived closeness is likely strongly correlated with actual closeness from a network analysis standpoint, but I also wish to propose for the consideration that these two dimensions do not share a perfect correlation. In fact, the extent to which there is any lack of concordance between these measures becomes an interesting scientific question!

COMM MIL is the Media and Interaction Lab housed in West Virginia University's Department of Communication Studies. More information about the lab can be found here.