Why Am I Changing Up My Research?

Original Plan

The original title of my planned research submitted to the MSU IRB was “Racism in sports: A comparison of collegiate athletes’ descriptions of self.”  The portion of research I intended to do in SOC 985 was to determine the athletes’ perceptions of self through in-person interviews and an online survey.  The method of recruiting participants was to be via email, Twitter, mail, and phone calls.  The first step I took was to use Twitter to contact the athletes and administration at the universities.  This was convenient to my schedule.  Many times I needed to produce communication at late hours that were not conducive to phone calls.  Twitter and email are like voice mail; both are messages that can be viewed at the recipient’s leisure and responses are by choice as opposed to the required replies when answering a direct phone call.

The problem, or potential benefit, from this type of data collection is that I am seeing great amounts of usable data on Twitter regarding the descriptions/perceptions of athletes.  Unfortunately, that data does not fall within the parameters that I am allowed to collect.  At the point of writing this field note, I have sent 36 invitations to athletes to participate in my survey.  It has taken roughly 3-4 hours to generate those invitations.  I have received one response and I am not sure yet if that person even went through with the survey.  In the meantime, I have come across tweets like these:

“Terrell Stoglin has the world’s roundest head.”
@testudotimes
The best source of information on Maryland athletics. Well, at least the bloggiest source.

“HAUKUR PALSSON!!! Iceland Terp! #13″
@JPriv13
Student. Loving Life. Go Lakers, Raiders, Da U, Terps.

Granted, those descriptions are not precisely what I was looking for.  However, they do show that Twitter is a great place to acquire descriptions of athletes.  In 2009, I wrote a paper titled “Challenging traditional gate-keeping power & control: How new media transcended conventional mass media roles.”  I did this in order to better understand mass media and social media, the similarities and differences.  This is important to my research because I have intentions on examining this triad:

  1. Media descriptions of athletes
  2. Institutional descriptions of athletes (the universities)
  3. Athlete’s descriptions of self

But, I’m leaving out one important group: fans.  Initially, I was trying to analyze media/institution/self in order to then see if those together influenced the fans’ perceptions.  In other words, if the institution said “John Doe is a smart player” and the media said “John Doe is a raw athlete” and the player himself said “I am a smart player” then, what would the fan say?  If the fan said “John Doe is a raw athlete” then the fan would have aligned with the media.  This was my initial idea.

In sum, I feel it is still a good idea.  Yet, the order is not necessarily vital to the research.  I could essentially pull data for fans now.  I have a background article about the media descriptions of athletes that I am basing much of that portion of research off of (Denham, Billings, & Halone, 2002).  I have a data set of the universities’ descriptions of athletes that I collected.  I have yet to assemble data on fans or athletes.  Although data on athletes’ own perceptions is vital to my overall research, at this point in time and considering my prior research involving the mass and social media, I believe it is appropriate to key in on fans’ descriptions.

Here is my new plan for the semester

My prior research, and the research of Hove (2009), has discussed the differences between mass and social media.  Within both, fans’ descriptions of athletes can be gathered and examined.  I will gather data from both social and mass media.

Sample 1 – Fans through Mass Media

As of today, there are 128 comments in a Detroit Free Press article titled “Authorities: DPS a victim of computer theft ring” (Dawsey, Walsh-Sarnecki, & Shelton, 2010).  The title of the article includes no mention that one of the suspects is/was a Michigan State University football player.  However, 128 comments discuss that player.

Sample 2 – Mass Media / Social Media Blend

During September 2010, “Junior guard Korie Lucious pleaded guilty to one count of reckless driving Thursday, according to court documents” (Wilkins, 2010).  Prior to that incident, Korie had not experienced that level of public discipline.  There were some comments:

There are a couple categories that exist in these comments, references to:

I have already categorized “academics” and I think it is clear that “being a good teammate” and “maturity” are descriptions of the athlete.  The fourth category, athlete/non-athlete, would be great to insert in an analysis of fans’ perceptions of athletes.  Occasionally, athletes communicate with fans:

At other times, the athlete describes himself academically and athletically:

In this brief sample, Korie has mentioned academics, basketball, and life in general.  My research is meant to examine these categories and answer questions like:

David Kircus is a white football player from the State of Michigan.  Recently, he also was in the news (Deiters, 2010).

There were 21 comments from readers/fans, including:

Because the story is relatively new, there are no tweets referring to Kircus except for those just providing the link to the news story (many of which include “role model”).  What is interesting in the Kircus comments are the references to black professional players Charles Rogers and Michael Vick.  It seems like when a white player is arrested, there are instantaneous correlations drawn to the situation of that individual and the collective black athlete convict.  It would be appropriate then to review a recent article (Oosting, 2010) on Charles Rogers’ legal situation and see if there are similar references to white athlete convicts:

ben-roethlisbergerIn summary, both Kircus and Rogers were grouped by fans/commenter with other black athletes when discussing legal situations.  Yet, at the same time these incidents were occurring, many white athletes were also involved in legal situations.  For example:

Note, I have not done research on the exact charges.  Those are generalized legal connections.  Rogers (2010) discusses much of this in a Black Web Portal blog.

Sample 3 – Social Media Exclusively

As I write this, Ben Roethlisberger is taking his first snaps back after being accused of a sexual crime.  He was suspended by the league for several games (citation needed).  In addition to the standard tweets coming through about his play (e.g. that he threw a pass) there are tweets connecting him to legal trouble like:

In a very quick glance at the tweets regarding Roethlisberger, three things become apparent:

  1. He is instantly connected to Michael Vick (black athlete convicted of a crime)
  2. He is called “dumb”
  3. The fans’ love and hate for him is connected to his play on the field and not his legal situation

New Plan

Moving forward, it will be necessary for me to analyze a wide array of descriptions of athletes.  At this time, it would be counterproductive to skip the opportunity to acquire such a great amount of data from Twitter.  As I wait to get athletes to respond to my invitations to take the online survey and undergo an in-person interview, I plan to submit an IRB revision to allow me to collect data from Twitter and public news media websites (comments).

Methodology

In my original Research Proposal, I described how I would conduct an online survey and in-person interviews.  Yet, I failed to include the overall approach I would take.  This was appropriate at the time I submitted my proposal, as I was uncertain, but it is now time to determine what approach I will take.  I will conduct an ethnography with certain similarities and differences to McDermott (2006).  McDermott uses “targeted participant observation… to observe patterns of interaction and behavior by participating in an activity that is indirectly related to the phenomenon of interest.  This method yields rich descriptions, not so much of the members of a community or organization, as of specific social processes of interest that can be observed only while one actively participates in a community’s daily life.”  With this in mind, I cannot use McDermott’s approach to achieve my initial intent: descriptions of the members of a community.  Thus, I will have to realign my thesis statement in order to “do McDermott.”

My original “topic” was described as:

Do athletes convey descriptions of self that are similar or different to those descriptions professed by sports commentators?  The descriptions of athletes by sports commentators will be gained from prior literature (Denham et al., 2002).  The descriptions of self by the individual athletes will be the charge of my research.  I will use survey and interview.

My new thesis question (which forms my paper) will follow this line of thought:

  1. An overview of the demographic history of college basketball and fans (Sports Business Daily, n.d.; NCAS)
  2. A discussion of the different meanings of being white and black
  3. Categorizing the “characteristics of interactions and the settings in which they occur as being especially likely to hinder or facilitate overt expressions of prejudice” (McDermott, 2006)
  4. Discuss “two themes of daily life… that are intertwined with racial beliefs” (McDermott, 2006)
    1. Family (June, 1991): What are the common themes present in black/white athletes’ connection to family?
    2. Athleticism (Denham, Billings, & Halone, 2010): What are the common themes present in black/white athletes’ connection to athleticism?

My new thesis question is:

Do descriptions/characterizations of athletes differ by race?

For this paper, I will look only at descriptions of the athlete.  I will review tweets, news articles, and comments that discuss:

  1. physical index = height and weight (includes physical appearance)
  2. background = hometown and previous school
  3. academics = major and GPA or other mentions of academics
  4. family = any mention of family
  5. skills = shooting, ball handling, defense, moves, etc.

Conclusion

The new plan is to extend beyond an examination of athletes’ own descriptions of self.  I will now focus on fans’ descriptions of athletes.  Previous research (Denham, Billings, & Halone, 2010) has focused on mass media descriptions of athletes.  I will also focus on the institutions’ descriptions of athletes.  The two new foci of my research are essential to understanding the construction of athletes’ identities.  Athletes’ descriptions of self appear regularly during interviews with the media.  Less frequently are fans’ and institutions’ descriptions studied.  Therefore, I will adjust my research to examine areas in need of further study.

Bibliography

Billings, A. C., & Eastman, S. T. (2001). Biased Voices of Sports: Racial and Gender Stereotyping in College Basketball Announcing. Howard Journal of Communications, 12(4), 183-201. doi:10.1080/106461701753287714

Billings, A. C., & Eastman, S. T. (2003). Framing Identities: Gender, Ethnic, and National Parity in Network Announcing of the 2002 Winter Olympics. The Journal of Communication, 53(4), 569-586. doi:10.1111/j.1460-2466.2003.tb02911.x

Billings, A. C., Halone, K. K., & Denham, B. E. (2002). “Man, That Was a Pretty Shot”: An Analysis of Gendered Broadcast Commentary Surrounding the 2000 Men’s and Women’s NCAA – Final Four Basketball Championships. Mass Communication and Society, 5(3), 295. doi:10.1207/S15327825MCS0503_4

Dawsey, C. P., Walsh-Sarnecki, P., & Shelton, S. (2010, September 22). Authorities: DPS a victim of computer theft ring. Detroit Free Press. Online. Retrieved from http://www.freep.com/article/20100922/NEWS05/9220317/Authorities-DPS-a-victim-of-computer-theft-ring

Deiters, B. (2010, October 13). Ex-Grand Valley State star David Kircus pleads guilty after fleeing police, wants to be role model. The Grand Rapids Press. Grand Rapids. Retrieved from http://www.mlive.com/lakers/index.ssf/2010/10/ex-laker_lions_receiver_david.html

Denham, B. E., Billings, A. C., & Halone, K. K. (2002). Differential Accounts of Race in Broadcast Commentary of the 2000 NCAA Men’s and Women’s Final Four Basketball Tournaments. Sociology of Sport, 19(3). Retrieved from http://hk.humankinetics.com.proxy1.cl.msu.edu/eJournalMedia/pdfs/5163.pdf

Hove, T. (2009). Social Laws of Competition for Journalistic Authority. Journal of Mass Media Ethics: Exploring Questions of Media Morality, 24(2), 164. doi:10.1080/08900520902885251

June, L. N. (1991). The Black family: past, present & future : perspectives of sixteen Black Christian leaders. Zondervan.

McDermott, M. (2006). Working-class white: the making and unmaking of race relations. University of California Press.

Oosting, J. (2010, September 24). Former Detroit Lions receiver Charles Rogers faces foreclosure on $1.17M Novi mansion. Mlive.com. Retrieved from http://www.mlive.com/news/detroit/index.ssf/2010/09/former_detroit_lions_receiver_1.html

Rogers, D. (2010, September 29). What about the white athletes? Black Web Portal. Retrieved October 17, 2010, from http://www.blackwebportal.com/wire/DA.cfm?ArticleID=7358

Sports Business Daily. (n.d.). Scarborough Examines NCAA Basketball Fan Demographics. Retrieved October 17, 2010, from http://www.sportsbusinessdaily.com/article/119257

Wilkins, E. (2010, September 4). Lucious pleads guilty to reckless driving. State News. Retrieved from http://www.statenews.com/index.php/article/2010/09/lucious_pleads_guilty_to_reckless_driving