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- All Subjects: journalism
- Creators: Walter Cronkite School of Journalism and Mass Comm
- Creators: Reed, Sada
This dissertation employs Michel Foucault’s power/knowledge paradigm to take a discursive analytic approach to understand how the “female sportscaster” subjectivity, or imagined idea, is constructed through statements, images, and practices. That is, this dissertation investigates the way society “talks about” the “female sportscaster” and how those discussions affect the experiences of women sportscasters. Using one-on-one interviews with 10 women sportscasters, focus groups with sports media consumers, netnography, and textual analysis under the umbrella of a feminist methodological approach, this dissertation finds that the American female subjectivity is constructed through postfeminist and neoliberal discourses. These discourses “empower” women sportscasters to be responsible for their own success but, in doing so, normalize the obstacles women in sportscasting endure.
As a result of this normalization, the electronic sports media industry is seemingly justified in taking little to no meaningful action toward improving conditions for women sportscasters. Specific manifestations of these discourses are traced across phenomena such as double standards, bias in hiring and development, harassment, and the expectation of affective labor. Suggestions are made for improving conditions for women sportscasters.
In recent years, advanced metrics have dominated the game of Major League Baseball. One such metric, the Pythagorean Win-Loss Formula, is commonly used by fans, reporters, analysts and teams alike to use a team’s runs scored and runs allowed to estimate their expected winning percentage. However, this method is not perfect, and shows notable room for improvement. One such area that could be improved is its ability to be affected drastically by a single blowout game, a game in which one team significantly outscores their opponent.<br/>We hypothesize that meaningless runs scored in blowouts are harming the predictive power of Pythagorean Win-Loss and similar win expectancy statistics such as the Linear Formula for Baseball and BaseRuns. We developed a win probability-based cutoff approach that tallied the score of each game once a certain win probability threshold was passed, effectively removing those meaningless runs from a team’s season-long runs scored and runs allowed totals. These truncated totals were then inserted into the Pythagorean Win-Loss and Linear Formulas and tested against the base models.<br/>The preliminary results show that, while certain runs are more meaningful than others depending on the situation in which they are scored, the base models more accurately predicted future record than our truncated versions. For now, there is not enough evidence to either confirm or reject our hypothesis. In this paper, we suggest several potential improvement strategies for the results.<br/>At the end, we address how these results speak to the importance of responsibility and restraint when using advanced statistics within reporting.
A journalistic, first-person narrative going through the lessons learned from travel. The story is complemented by a series of photos from childhood to the present all uploaded to a Wix-based website.
This thesis examines the current polarization of news media, specifically written journalism, either in newspapers or on news websites. Americans increasingly get their news from polarized sources, and that is leading to a large divide in information. This issue is also exacerbated by political idealogy. Furthermore, I explore how the traditional business model of advertising-based revenue is leading to more polarized news coverage. To combat this, I offer interventions for news organizations, including the importance of journalistic ethics and the possibility of more news organizations transferring to nonprofit status, which has gained traction in recent years. Access to accurate news and information is essential in a functioning democracy, and if polarization and issues in news continue, it will be harmful to America as a whole.
In journalism school, reporters learn to be unbiased, impartial and objective when covering a story. They are to stay neutral and detached from their reporting. However, this standard has become unrealistic and unachievable for many journalists. "Inside Objectivity" is a five-episode podcast that focuses on what journalistic objectivity looks like in the 21st century. In this podcast, you will hear from journalists, scholars, historians, researchers and a news consumer. These guests will provide their thoughts regarding journalistic objectivity and whether this ethical standard needs to be modified. To listen to the episodes and learn more about the podcast, visit insideobjectivity.com.