research question

What are the most related topics to gender inequality and gender equality?
Are there any similarities of contents between both Wikipedia pages of our queries?

Comparison between Google and Wikipedia clusters

Clusters comparison - Wikipedia & Google (2) Coloniality of gender Gender differences Gender inequality in Australia Gender inequality in Thailand Gender inequality in Bangladesh Global Gender Gap Report GOOGLE ARTICLES CLUSTERS SEEALSOLOGY CLUSTERS LEVEL 01 Equal pay for women F eminization of poverty 64 W ork & Economy Progress Education Politics Discrimination F amily Social Media Health Violence Other A ffirmative action Kenneth and Mamie Clark F eminism Girl Effect Kiva (o r ganization) Paycheck F airness Act Special measures for gender equality in the United Nations 22 Gender and education 20 64 Discrimination Masculism Men's rights movement Microinequity Obedient Wives Club Sexism W omen's rights 14 Intra-household ba r gaining Shared earning/shared parenting marriage Shared parenting 13 Gender polarization Ma r ginalization Socialization T ransgender inequality 12 Gender equality 9 Gender and suicide Sex and p s ycholo g y Sexual dimorphism 8 Sex segregation 7 3

Comparison between tables of contents of both Wikipedia pages

Comparison between wikipedia contents GENDER EQUALITY WIKIPEDIA T ABLE OF CONTENTS GENDER INEQUALITY WIKIPEDIA T ABLE OF CONTENTS 1. Natural sex differences 1.1. P s ycholo g y 2. In the workplace 2.1. Deaths 2.2. Income disparities linked to job stratification 2.3. Professional education and careers 2.4. Customer preference studies 2.5. Gender pay differences in the medical field 3. At home 3.1. Gender roles in parenting and marriage 3.1.1. Gender inequality in relationships 3.1.2. Attempts in equalizing household work 3.1.3. Gender inequalities in relation to technolo g y 3.2. Property Inheritance 3.3. Structural ma r ginalization 3.4. Gender stereotypes 3.5. Biological fertilisation stereotypes 3.6. Sexism and discrimination 4. In the criminal justice s ystem 5. In television and film 6. Impact and counteractions 7. V ariations by country or culture 7.1. Asia 7.2. Cambodia 7.3. Europe 7.3.1. W estern Europe 7.3.2. Eastern Europe 7.4. India 7.5. United States 7.5.1. Political affiliations and behaviors 7.5.2. Challenges to women in politics 7.5.3. Steps needed for change 8. See also 9. Notes and references 10. Bibliography 1. History 1.1. Shakers 1.2. Post-war era 1.3. United Nations 2. Gender biases 3. Efforts to fight inequality 3.1. Health and safety 3.1.1. Violence against women 3.1.2. Reproductive and sexual health and rights 3.1.2.1. F amily planning and abortion 3.1.3. Investigation and prosecution of crimes against women and girls 3.1.4. Harmful traditional practices 3.1.4.1. F emale genital mutilation 3.1.4.2. F orced marriage 3.1.4.3. Bride price 3.2. Economy and public policy 3.2.1. Economic empowerment of women 3.2.2. Gendered arrangements of work and care 3.2.3. Freedom of movement 3.2.4. Girls' access to education 3.2.5. Political participation of women 3.2.6. Marriage, divorce and property laws and regulations 3.3. Social and ideological 3.3.1. Gender stereotypes 3.3.2. Portrayal of women in the media 3.3.3. Informing women of their rights 3.3.4. Gender mainstreaming 4. See also 4.1. General issues 4.2. Specific issues 4.3. Laws 4.4. O r ganizations and ministries 4.5. Historical anecdotal reports 4.6. Other related topics 5. Notes 6. Citations 7. References 8. External links

Description

After analyzing the google queries about “gender in/equality” in the previous visualizations, we tried to give form to the whole phenomenon, as treated on Wikipedia. The aim was to get the representation of how articles are related to each other, which topics are most relevant according to Wikipedia in relation to both “Gender Equality” and “Gender Inequality”, and which meaning it creates to Wikipedia users, what are the common topics between Gender Equality and Gender Inequality and what is the major debate in comparison to google search results. We used the Seealsology tool to examine the network of the connections between the most related topics to both “Gender Equality” and “Gender Inequality”. The network is intricate and works on many levels. To be most effective and relevant, we focused on level one.

Furthering our Wikipedia research, we compared the table of contents of both the ‘Gender Equality’ page and the ‘Gender Inequality’ page. It is important to note, that in our visualization we compared the contents by topic as opposed to by title. We connected the contents from each page with the parallel on the other that included similar information, provided there was one, regardless of the specific title.

This led us to question why these two pages are not merged given their similarity and Wikipedias commitment to merging multiple pages on the same topic. The online discussion from Wikipedia made us aware that they are categorized separately because ‘Gender Inequality’ is considered a long-standing sociological phenomenon, with roots in history and biology for example with influences on every aspect of human life. However, ‘Gender Equality’ is a singular but widely proposed goal to eradicated injustices - it looks to the future for a solution, but it is only one of many proposed solutions.

To give us a more complete overview of ‘Gender Equality & Inequality’ online we decided to merge our results from the two main platforms we focused on, Google and Wikipedia. We compared our manually created Google clusters, from the previous keywords analisys, to level one of the generated Seealsology Wikipedia network. By doing this we discovered that discrimination and progress are the most linked and popular topics discussed online, not only work place gender inequality as our initial first stage of research suggested. By following these steps we have been able to create a deeper investigation and less superficial analysis of the ‘Gender Equality & Inequality’ debate online.

Protocol

Forth protocol Identify a network of related topics Seealsology "Gender Equality" and "Gender Inequality" Wikipedia Pages Illustrator 2nd Visualization Compare seealsology level 01 list of pages to our topic clusters from keywords analysis Manually by reading the text of the Wikipedia pages and their References links 1st Visualization Seealsology Illustrator 3rd Visualization Compare table of contents of the two wikipedia pages Manually by reading the text of the Wikipedia pages and their References links

First, we used both “Gender Equality” and “Gender Inequality” together in Seealsology tool, and by extracting the graph we defined the network of the topics in relation with both queries. We focused on the pages from the level one of the network, as they are only one step from the “Gender Equality” and “Gender Inequality” Wikipedia pages.

Then we linked the list of Wikipedia pages from level one to the manualclusters found in the chapter analyzing the keywords from 200 Google articles from our two querys.

Data

Timestamp: 01/12/2016 - 05/12/2016

Data source: Scopus, Google Scholar

We have found the list of Wikipedia “Gender Equality” and “Gender Inequality” pages and compared the dataset from see Chapter 2.