Seminario de inv., Estudios sociales e históricos de la cuantificación social 2o ciclo 2025 sesión 7

Value of the Information & Strength of the Argument

The talk provides valuable insights into how datafication and algorithmic processes reshape social categories, particularly gender and class. Sued’s argumentation is coherent, building from theoretical concepts like post-demographics to concrete examples from her research and other studies. She effectively illustrates the shift from traditional demographic classification to emergent algorithmic profiling, and she critically examines the implications for inequality and agency. However, the argumentation sometimes relies on anecdotal examples and personal observations rather than systematic evidence, and the discussion of poverty is less developed than that of gender.

Scientific Rigor, Source Quality, Title Accuracy

Sued demonstrates scientific rigor by grounding her talk in academic literature, including her own published work and that of others like Richard Rogers and López Solano. She clearly distinguishes between her own research and external sources. The title of the video is accurate but generic, not highlighting the specific content. The talk is well-structured and references relevant studies, though it lacks explicit citations for some claims. The adequacy between title and content is acceptable, as the title indicates the seminar series and session, which is appropriate for an academic seminar.

The title accurately describes the seminar session, indicating the series and session number, though it does not mention the specific topic of data, gender, and inequalities.

7/10

The speaker is a postdoctoral researcher with relevant expertise, and the talk is grounded in her own research and cited academic work. However, it is a seminar presentation with limited external verification of claims, and some concepts are presented without deep critical analysis.

Markers derived by PSI from the transcript: the creator did not define chapters.

• 00:00Introduction by the host, welcoming attendees and introducing the speaker Gabriela Sued.
• 03:00Gabriela Sued begins her talk, outlining the topics of gender and poverty in the context of datafication.
• 10:00Introduction of the concept of datafication and its implications.
• 20:00Discussion of post-demographics and how platforms create emergent categories.
• 30:00Examples of post-demographic studies, including mobility data and COVID-19 tracking.
• 40:00Exploration of how gender is constructed in digital environments and the concept of algorithmic visibility.
• 50:00Discussion of her research on digital feminism and the agency of women in inscribing their own categories.
• 1:00:00Transition to the topic of poverty and datafication, referencing the SISBEN system in Colombia.
• 1:10:00Analysis of how class and poverty are inferred from digital traces and the implications for social inequality.
• 1:20:00Conclusion and final remarks, emphasizing the need for critical engagement with datafication.

• Visibilidades algorítmicas en el feminismo digital — One of the two texts by the speaker that she discusses, focusing on algorithmic visibility and digital feminism.
• Text on SISBEN system in Colombia — A text by López Solano that she mentions as a reading for the session, illustrating how classification systems decide access to state resources.

• Richard Rogers - Digital Methods — The concept of post-demographics is attributed to Richard Rogers, a professor at the University of Amsterdam.