Description Trigger warning: The data in this competition can contain graphic descriptions of or extensive discussion of abuse, especially sexual abuse or torture.

Gender-based violence, or GBV, is an ongoing and ever-resent scourge around the world and is particularly prevalent in developing and least-developed countries. Gender-based violence also increased in many parts of the world during the COVID-19 pandemic.

One of the greatest challenges in combating GBV is the ‘culture of silence’, where victims of violence are scared, ashamed, or intimidated to discuss their experiences with others and often do not report their experiences to authorities.

Another challenge faced by victims is achieving justice for their abusers. Some may not be aware of support systems, or not know where and how to report the perpetrators.

Victims may find safety sharing their experiences online (as evidenced by the #MeToo movement), allowing them to get more support in an anonymous and safe way.

The objective of this challenge is to create a machine-learning algorithm that classifies tweets about GBV into one of five categories: sexual violence, emotional violence, harmful traditional practices, physical violence, and economic violence.

Your solutions can be used to summarise tweets and present evidence to policymakers and law enforcement agencies. Along with the classification algorithm, statistics about when and who made the tweet can be used to find trends while preserving anonymity.

About SDG5: Gender Equality

Gender equality is a fundamental and inviolable human right and women’s and girls’ empowerment is essential to expand economic growth, promote social development and enhance business performance. The full incorporation of women’s capacities into labor forces would add percentage points to most national growth rates – double digits in many cases. Further, investing in women’s empowerment produces the double dividend of benefiting women and children, and is pivotal to the health and social development of families, communities, and nations.

Empowering women and girls and achieving gender equality requires the concerted efforts of all stakeholders, including businesses. All companies have baseline responsibilities to respect human rights, including the rights of women and girls. Beyond these baseline responsibilities, companies also have the opportunity to support the empowerment of women and girls through core business, social investment, public policy engagement, and partnerships. As the engine for 90 percent of jobs in developing countries, technological innovation, capital creation, and investment, responsible business is critical to the advancement of women’s and girls’ empowerment around the world. With a growing business case, private sector leaders are increasingly developing and adapting policies and practices, and implementing cutting-edge initiatives, to advance women’s empowerment within their workplaces, marketplaces, and communities. The launch of the SDGs in September provides a tremendous opportunity for companies to further align their strategies and operations with global priorities by mainstreaming gender equality into all areas of corporate sustainability and systematically and strategically scaling up actions that support the development and livelihoods of women and girls.

About Trigger warning: The data in this competition can contain graphic descriptions of or extensive discussion of abuse, especially sexual abuse or torture.

The data was collected from Twitter using a Python library (twint) by Ambassador Lawrence Moruye for the AFD Gender-Based Violence Dataset Collection Challenge.

The objective of this challenge is to create a machine-learning algorithm that classifies tweets about GBV into one of five categories: sexual violence, emotional violence, harmful traditional practices, physical violence, and economic violence.

Description Trigger warning: The data in this competition can contain graphic descriptions of or extensive discussion of abuse, especially sexual abuse or torture.

Gender-based violence, or GBV, is an ongoing and ever-resent scourge around the world and is particularly prevalent in developing and least-developed countries. Gender-based violence also increased in many parts of the world during the COVID-19 pandemic.

One of the greatest challenges in combating GBV is the ‘culture of silence’, where victims of violence are scared, ashamed, or intimidated to discuss their experiences with others and often do not report their experiences to authorities.

Another challenge faced by victims is achieving justice for their abusers. Some may not be aware of support systems, or not know where and how to report the perpetrators.

Victims may find safety sharing their experiences online (as evidenced by the #MeToo movement), allowing them to get more support in an anonymous and safe way.

The objective of this challenge is to create a machine-learning algorithm that classifies tweets about GBV into one of five categories: sexual violence, emotional violence, harmful traditional practices, physical violence, and economic violence.

Your solutions can be used to summarise tweets and present evidence to policymakers and law enforcement agencies. Along with the classification algorithm, statistics about when and who made the tweet can be used to find trends while preserving anonymity.

About SDG5: Gender Equality

Gender equality is a fundamental and inviolable human right and women’s and girls’ empowerment is essential to expand economic growth, promote social development and enhance business performance. The full incorporation of women’s capacities into labor forces would add percentage points to most national growth rates – double digits in many cases. Further, investing in women’s empowerment produces the double dividend of benefiting women and children, and is pivotal to the health and social development of families, communities, and nations.

Empowering women and girls and achieving gender equality requires the concerted efforts of all stakeholders, including businesses. All companies have baseline responsibilities to respect human rights, including the rights of women and girls. Beyond these baseline responsibilities, companies also have the opportunity to support the empowerment of women and girls through core business, social investment, public policy engagement, and partnerships. As the engine for 90 percent of jobs in developing countries, technological innovation, capital creation, and investment, responsible business is critical to the advancement of women’s and girls’ empowerment around the world. With a growing business case, private sector leaders are increasingly developing and adapting policies and practices, and implementing cutting-edge initiatives, to advance women’s empowerment within their workplaces, marketplaces, and communities. The launch of the SDGs in September provides a tremendous opportunity for companies to further align their strategies and operations with global priorities by mainstreaming gender equality into all areas of corporate sustainability and systematically and strategically scaling up actions that support the development and livelihoods of women and girls.

About Trigger warning: The data in this competition can contain graphic descriptions of or extensive discussion of abuse, especially sexual abuse or torture.

The data was collected from Twitter using a Python library (twint) by Ambassador Lawrence Moruye for the AFD Gender-Based Violence Dataset Collection Challenge.

The objective of this challenge is to create a machine-learning algorithm that classifies tweets about GBV into one of five categories: sexual violence, emotional violence, harmful traditional practices, physical violence, and economic violence.