Hollywood Workers vs Tech: In Theory and In the News

The 2023 SAG-AFTRA and WGA strikes on Hollywood were notable because of their explicit ties to technology and labor’s changing relationships. In particular, disputes around using generative AI in the workplace were widely reported in the news. This thesis examines the Hollywood strikes in two parts. The first part takes a political economy approach to examine the underlying causes of these changes in technology-labor relations. In particular, the thesis argues that an industry shift to distribution via streaming services alongside increased vertical integration brought about new imperatives to production and exponentially increased levels of data capture, enabling the labor conditions that led to the strike. Theories of creative labor and technology-labor relations are used to describe the tensions. The resulting SAG-AFTRA and WGA collective bargaining agreements are then examined within these framings. The second part of the thesis quantitatively explores the relationship between news media (which its own complex relationship with technology) and the Hollywood strikes using natural language processing techniques. Sentiment analysis and sentence embeddings are used to quantify and compare news articles across different characteristics. The results of the analysis are inconclusive.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2024

Author dc:creator

• Cmehil-Warn, Christian

Advisors dc:contributor.advisor

• Jackson, Jason
• Raghavan, Manish

Statement dc:rights

• Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
• Copyright retained by author(s)

Licence dc:rights.uri

• https://creativecommons.org/licenses/by-nc-nd/4.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/156982

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/156982