Part 4 in a series of research perspectives in human-computer interaction.

The previous coverage of search engines and social media platforms necessitates an exploration of bias with respect to algorithms, which are integrated ubiquitously across the web. Machine learning and AI algorithms perform in automated decision-making and prediction, often in combination with online behavior and user information as training data. Their ability to process large amounts of data have made them essential to increased efficiency in online operations ranging from advertisement, recommender systems in entertainment and business, determining creditworthiness, to hiring decisions.

The capacity for an algorithmic predictor to iteratively evaluate a vast set of features in a large number of…

Part 3 in a series of research perspectives in human-computer interaction.

The online environment mediates rapid communication and dynamic social activity through online forums, comments, reviews, and platforms such as Facebook and Twitter. Not only can these areas that constitute social media quickly transmit biased or misinformative content, but they are also where users exercise their biases directly against others or societal entities. Whereas I previously explored biases of individual users during information search, the current explores biases that are elicited in online social interactions and across a range of social media activities.

Online Ratings and Reviews

User-generated content for online business and product reviews has become a dominant application of…

Part 2 in a series of research perspectives in human-computer interaction.

Since the 1950s, research in psychology has achieved major insights into human cognition and behavior by adopting a view of human learning as an information-processing system of limited capacity [1]. Within these bounds, heuristics provide efficient solutions to cognitively demanding tasks without the impossible analysis of all available information. In realistic settings that involve time constraints, complexity, and incomplete information, judgments made by heuristics may be necessary or even rational [2, 3, 4]. Internet users face large amounts of uncertainty as they navigate and process information on the web, where they may be particularly vulnerable to false information, misinformation, restrictions…

A series of research perspectives in human-computer interaction.

The online availability of digital information, social networking, and automated computing has become indispensable for daily life and particularly essential to the recent relocation of jobs, education, entertainment, and social functions from physical spaces to the web. This change has occurred alongside the increase in COVID-19 infection rates, filled hospital beds, and protective measures against the pandemic including the buffer of device screens that have mediated social connection and information about the world outside. However, as much as the digital world might have become a pacifier or a temporary solution for reality, it is not immune to its influence.

Bias can affect perception of reality at different levels.


Nine years ago in my English classroom, I sat facing a wall that was adorned in large letters with a quote by Socrates:

“The unexamined life is not worth living.”

Some days they were no more than a familiar string of letters, read subconsciously like a mental reflex. Other days they made me reflect on the recent events of my day (whether or not that made my life anymore worth living). Either way, I spent a great deal of that semester’s class examining those words set before me.

Last Fall, I spent a full semester fixed in front of a…

Nessa Kim

Graduate student in HCI & Human Factors pulling her thoughts together.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store