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research question

Which are the most frequent keywords used by the sources? What do they talk about more?

grafici keywords sito Politics Policy Government Law Politic Government Policy Political Participation Student Culture Education Study School University Educated women Education Culture School University Study Student Womens education Salary Work Economy Labour Business Pay Workplace Job Finance Employment Employer Career Wage Earn Equal pay Economic empowerment Unpaid work Child labour Job opportunities Labour market Economic autonomy Economic development Economic opportunity Worklife balance Unpaid job Professional development Paid work Economy Work Job market Salary gap Unemployment rate Equal pay Racial bias Working conditions Professional development Economic development Work rights Employment discrimination Minimum wage Unpaid work Income Job Employment Pay Workplace Wage Labour Worker Career Earn Companies Economic growth Pay gap Labour market Wage gap Labour force Violence Harassment Assault Genderbased violence Sexual harassment Family violence Violence prevention Genital mutilation Domestic violence Violence against Violence Harassment Sexual harassment Domestic violence Sexual violence Household responsabilities Discrimination Gap Stereotype Bias Barrier Disparity Gender gap Against women Sex discrimination Gender bias Gender differences Forced marriage Gender diversity Gender discrimination Gender stereotypes Gender disparities Poverty Discrimination Gap Race Bias Barrier Stereotype Gender gap Gender discrimination Gender bias Gender stereotype Racial discrimination Gender disparities Sex discrimination Unconscious bias Social barriers Unequal treatment Against women Rights Development Empowerment Leadership Participation Opportunity Parity Women empowerment Human rights Womens rights Gender parity Gender integration Equal access Women participation Equal rights Equal participation Social development Supporting female Supporting women Feminism Feminism Radical feminism Rights Development Leadership Opportunity Parity Integration Human development Rights movement Equal opportunities Gender parity Womens participation Gender role Participation rate Womens rights News Media Technology Media Technology Family Child Relationship Household Domestic Parental leave Birth rate Home care Child Family Marriage Parental Pregnancy Motherhood Childhood Parental leave Child protection Childcare costs Domestic Children rights Health HIV HIV infections Health care Reproductive health Mental health Abortion rights Health Health care Women health GENDER INEQUALITY ONE WORD TWO WORDS HIGHER LOWER HIGHER LOWER GENDER EQUALITY ONE WORD TWO WORDS Politics Education Work and economy Violence Discrimination Health Family Media and technology Progress Show all HIGHER LOWER
Description Protocol Data

Description

The second stage of our research was to investigate what is the most discussed topic online in relation to “Gender Equality” and “Gender Inequality”. To find out the answer we decided to study which words are more associated with the topic.

Using the same results from the first chapter queries, we then used the Keyword Density Tool to extract a list of important single-word and two-word keywords from our top 100 results for each query excluding irrelevant words. By counting the keywords manually and merging any similar ones together we created broader clusters. We were then able to identify and rank the most discussed topics for both “Gender Inequality” and “Gender Equality” searches.

For both the queries the most relevant cluster of keywords are about work. The results showed that the links from the “Inequality” search are mostly centred around this topic and economic issues. The “Equality” search also generated similar results, however we found an increased importance on rights with only a narrow difference between the first and second place. This could be explained by the fact that “Gender Equality” focuses more on improvement and working towards the goal of equality, whereas “Gender Inequality” mainly focuses on more economic statistics and factual reporting.

Protocol

Second protocol Searching for Queries Identifying Keywords Identifying Clusters Visualization incognito: google.com/nrc Manual Selection "Gender Equality" and "Gender Inequality" first 100 results for each one excluding: google books & wikipedia Keyword Density Tool single-word & two-word excluding: our queries, articles and conjunctions Manual Selection in EXCEL Illustrator

We searched for both queries on google.com/nrc (incognito) to be sure that the results were generated using anonymous browsing and with no nationality to influence the outcome. We selected the first 100 results for each query manually, excluding Google books and Wikipedia pages.

Then using the keyword density tool, we inserted the links individually into the programme to create a list of single and two worded phrases, which excluded our queries, any articles and conjunctions. We selected the first 50 single words and first 50 double barrelled phrases to total 100 phrases for each query.

Later we manually identified clusters to identify the most discussed topic online.

Data

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

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Our data consists of two tables of information. One is with the first 100 links from the “Gender Equality” query and the other is the first 100 links from the “Gender Inequality” query. For every link the tool gave us a list of keywords, one word and two-words together. Starting with this dataset, we grouped keywords into clusters to identify what topic is most discussed.