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Forms of technology addiction have been considered as diagnoses since the mid 1990s. [3] In current research on the adverse consequences of technology overuse, "mobile phone overuse" has been proposed as a subset of forms of "digital addiction" or "digital dependence", reflecting increasing trends of compulsive behavior among users of technological devices. [4]
People become addicted or dependent on the Internet through excessive computer use that interferes with daily life. Kimberly S. Young [27] links internet addiction disorder with existing mental health issues, most commonly depression. Young states that the disorder has significant effects socially, psychologically and occupationally.
Cyber-dystopian principles focus on the individual losing control, becoming dependent and being unable to stop change. Nancy Baym shows a cyber-dystopia negatively effect of a cyber-dystopia in social interactions as it says new media will take people away from their intimate relationships, as they substitute mediated relationships or even ...
"Fear of missing out" can lead to psychological stress at the idea of missing posted content by others while offline. The relationships between digital media use and mental health have been investigated by various researchers—predominantly psychologists, sociologists, anthropologists, and medical experts—especially since the mid-1990s, after the growth of the World Wide Web and rise of ...
According to Monday’s report, teen girls, who some believe are especially at risk of impacts to their mental health and body image from social media, are more likely to say they spend too much ...
Microsoft founder Bill Gates — one of the most influential computing and technology innovators of our time — has an ironic secret to his success: No screen time.
Although many groups in society are affected by a lack of access to computers or the Internet, communities of color are specifically observed to be negatively affected by the digital divide. [71] Pew research shows that as of 2021, home broadband rates are 81% for White households, 71% for Black households and 65% for Hispanic households. [ 72 ]
High-frequency traders use computers to trade assets entirely based on algorithms. They are programmed to analyze the behaviors of various markets, buying and selling stocks that they often hold ...