Hypotheses and Insights
Propose a hypothesis and share your findings
Data visualization as a tool for socioeconomic empowerment and gender equality promotion.
- - Women are just a third of the workforce in the movie industry;
- Men get more funding than women for film productions;
- There is an established idea that women succeed in making documentaries, which hinders access to opportunities in other genres. Eg: The percentage of women in charge or involved in fiction productions is extremely low. (Almost three times more women directing documentaries than fiction);
- There is only sex-disaggregated data available (it is not gender data, it does not include gender expression and gender identity);
- We don't know about the gender bias across race, sexuality, class, ethnicity, nationality, disability, age, etc.
[Data pertains to the Spanish film industry. Time frame, 2015 to 2020]
- Accessible data narratives have a positive impact in promoting gender equality.
- 1) Feedback (opinions on the hypothesis, its viability and pitfalls, as well as missing perspectives) 2) Reflections (on the issue as a whole and on their own experiences and biases); 3) Data (insight about the movie audience, forms of data collection, other data resources, concerns with data collection); 4) Commitment (
- Related data
- Representativity of Women in the Spanish Movie Industry - Gender Data Lab: https://data.genderdatalab.org/dataset/representacion-de-mujeres-en-el-cine-espanol GENDER GAP AT CINEMA INDUSTRY SPAIN - Gender Data Lab: https://data.genderdatalab.org/dataset/gender-gap-at-cinema-industry-spain
- Women-centered gender gap;
- To evaluate community contributions:
Clear, transparent, substantial feedback;
Respectful and inclusive approaches;
Visual uptake on discussion, awareness and apparent interest;
Noticeable changes in practices or discourse in the industry;
List of Endorsements
AUTOMATED DATA CONTENT ANALYSIS
Color codes for sentiment analysis: Negative vs Positive
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