Tech and Equality

This paper discussed the relationship of electronic marketing to the gender gap and gender discrimination against women. First, the justifications for the great importance of e-marketing and its great role in shaping the image of the Internet and the experience of its users were presented. Secondly, this paper dealt with gender marketing policies. In particular, it focused on the extent to which these policies relate to traditional gender stereotypes that only recognize two gender identities.

This paper depends on scientific evidence to argue that given that Cyberspace can be proven to be a social space, it can be safely assumed that it impacts the constitution of gender identities of people interacting with each other within it. It also depends on empirical evidence from previous research that studied gender practices online, especially later research focusing on social media platforms like Facebook and Twitter.

In this paper, we will discuss the question: Why has Cyberspace failed to be different from the wider societal space? Namely, why isn’t it less sexist and misogynist? The paper tries to explain, based on many sources, that Cybersexism is not a mere direct reflection of societal sexism.

Gender greatly affects Internet users’ experiences and behavior while moving around and interacting in Cyberspace. The impact of threats of digital nature is different based on gender and sexual orientation, as gender reinforces social, economic, political, and cultural structures of the real world.

The stranger threatened to send her naked photo to her family and schoolmates if she wouldn’t give him a “show”, and thus he got more photos to threaten her with them. Despite submitting to his demands, Amanda was surprised when she found out that her photo was being circulated over the Internet.

Introduction In his foreword for the Global Connectivity Report 2022, issued by the International Telecommunications Union (ITU), Houlin Zhao, the Secretary-General of the union, points out that “over the past three decades, the number of Internet users went from a few million in 1992 to almost five billion in 2021.” However, “one-third of humanity remains […]

According to statistics, males represent 50.5% of the total world population while females represent 49.5% of it. Despite the close ratios, this is not reflected in data on which different fields all over the world depend. Among these fields, that are increasingly and hugely impacting all aspects of life, are the Artificial Intelligence (AI) systems. During the development of AI algorithms, women, i.e., half of the world’s population, are mostly ignored, while depending almost exclusively on data representing males. This leads to such systems being biased due to the bias of data they depend on.