Bureau of Justice. In 2018 16% of high schoolers were subject to cyberbullying according to the CDC's 2019 Youth Risk Behavior Surveillance System. Bot accounts Bots originate from the 1980s, where they were known as an IRC (Internet Relayed Chat) which served essential purposes such as stating the date and time and over time now expand to other purposes, such as flagging copyright on articles. Forms of social media, such as Twitter, Facebook, and Instagram, have a prevalent activity of social bots, different than IRC bots, representing accounts that are not human and perform autonomous behavior to some degree. Bots, especially those with malicious intent, became most prevalent in the 2016 U.S. presidential election, where both the Trump and Clinton campaign had millions of bots essentially working on their account to influence the election. A subsection of these bots would target and assault certain journalists, causing journalists to stop reporting on matters since they dreaded further harassment. In the same election, Russian Twitter bots, presenting themselves as Midwestern swing-voter Republicans were used to amplify and spread misinformation. In October 2020, data scientist Emilio Ferrara found that 19% of tweets related to the 2016 election were generated by bots. Following the election, A 2017 study revealed that nearly 48 million Twitter accounts are bots. Furthermore, it was found that approximately 33% of tweets related to Brexit were produced by bots. Data indicates that the use of bots has increased since the 2016 election, and AI-driven bots are becoming hard to detect, and soon will be able to emulate human-like behavior, by being able to comment, submit comments regarding policy, etc. affecting political debate, outcomes of an election, and a user's perception of those online and the humans they interact with. Although bots have been used in a negative context when politics are described, many bots have been used to protect against online harassment. For example, since 2020, Facebook researchers have been developing Web-Enabled Simulation (WES) bots that emulate bad human behavior and then engineers use this data to determine the best correctives. Privacy and location-based services Increasingly, mobile devices facilitate location tracking. This creates user privacy problems. A user's location and preferences constitute personal information. Their improper use violates that user's privacy. A recent MIT study by de Montjoye et al. showed that 4 spatio-temporal points, approximate places and times, are enough to uniquely identify 95% of 1.5M people in a