Aadesh Salecha
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View article: Structured AI Dialogues Can Increase Happiness and Meaning in Life
Structured AI Dialogues Can Increase Happiness and Meaning in Life Open
Millions of people now use AI-powered chatbots to support their mental health, yet little is known about whether such interactions can effectively enhance psychological well-being. We conducted a preregistered experiment on a large, divers…
View article: Prolonged Social Isolation is Associated with Increased Behavioural Sensitivity to ‘Likes’ on Social Media
Prolonged Social Isolation is Associated with Increased Behavioural Sensitivity to ‘Likes’ on Social Media Open
Short-term isolation studies indicate that social isolation increases sensitivity to social rewards, yet ethical constraints limit the translation of this finding to prolonged isolation in humans. To address this, we investigated social re…
View article: A computational model of reward learning and habits on social media
A computational model of reward learning and habits on social media Open
Social media have fundamentally transformed how we live and communicate. However, the methods to study how our cognitive systems interact with technology platforms are very limited. Computational modelling represents a new avenue to uncove…
View article: TherapyTrainer: Using AI to train therapists in written exposure therapy
TherapyTrainer: Using AI to train therapists in written exposure therapy Open
Though evidence-based treatments for mental disorders are effective, existing implementation efforts are expensive and difficult to scale. Novel solutions— especially those that offer active learning strategies, repeat skill practice and p…
View article: Monitoring the opioid epidemic via social media discussions
Monitoring the opioid epidemic via social media discussions Open
The opioid epidemic persists in the U.S., with over 80,000 deaths annually since 2021, primarily driven by synthetic opioids. Responding to this evolving epidemic requires reliable and timely information. One source of data is social media…
View article: TherapyTrainer: Using AI to train therapists in written exposure therapy
TherapyTrainer: Using AI to train therapists in written exposure therapy Open
Though evidence-based treatments for mental disorders are effective, existing implementation efforts are expensive and difficult to scale. Novel solutions— especially those that offer active learning strategies, repeat skill practice and p…
View article: Large language models display human-like social desirability biases in Big Five personality surveys
Large language models display human-like social desirability biases in Big Five personality surveys Open
Large language models (LLMs) are becoming more widely used to simulate human participants and so understanding their biases is important. We developed an experimental framework using Big Five personality surveys and uncovered a previously …
View article: A computational model of reward learning and habits on social media
A computational model of reward learning and habits on social media Open
Social media have fundamentally transformed how we live and communicate. However, the methods to study how our cognitive systems interact with technology platforms are very limited. Computational modelling represents a new avenue to uncove…
View article: Large Language Models Show Human-like Social Desirability Biases in Survey Responses
Large Language Models Show Human-like Social Desirability Biases in Survey Responses Open
As Large Language Models (LLMs) become widely used to model and simulate human behavior, understanding their biases becomes critical. We developed an experimental framework using Big Five personality surveys and uncovered a previously unde…
View article: Fake news spreader detection using trust-based strategies in social networks with bot filtration
Fake news spreader detection using trust-based strategies in social networks with bot filtration Open
View article: Time Complexity Analysis of an Evolutionary Algorithm for approximating\n Nash Equilibriums
Time Complexity Analysis of an Evolutionary Algorithm for approximating\n Nash Equilibriums Open
The framework outlined in [arXiv:2010.13024] provides an approximation\nalgorithm for computing Nash equilibria of normal form games. Since NASH is a\nwell-known PPAD-complete problem, this framework has potential applications to\nother $P…
View article: Time Complexity Analysis of an Evolutionary Algorithm for approximating Nash Equilibriums
Time Complexity Analysis of an Evolutionary Algorithm for approximating Nash Equilibriums Open
The framework outlined in [arXiv:2010.13024] provides an approximation algorithm for computing Nash equilibria of normal form games. Since NASH is a well-known PPAD-complete problem, this framework has potential applications to other $PPAD…
View article: Empirical Study of the Spread of Misinformation: A Big Data Approach
Empirical Study of the Spread of Misinformation: A Big Data Approach Open
Honors Thesis. 2021.
\nAuthor: Aadesh Salecha
\nMajor: Computer Science
\nAdvisor: Jaideep Srivastava.
\n1 computer file (PDF); 152 pages.
View article: Monitoring the opioid epidemic via social media discussions
Monitoring the opioid epidemic via social media discussions Open
Opioid-involved overdose deaths have risen significantly since 1999 with over 80,000 deaths annually since 2021, primarily driven by synthetic opioids, like fentanyl. Responding to the rapidly changing opioid crisis requires reliable and t…
View article: Detecting Fake News Spreaders in Social Networks using Inductive Representation Learning
Detecting Fake News Spreaders in Social Networks using Inductive Representation Learning Open
An important aspect of preventing fake news dissemination is to proactively detect the likelihood of its spreading. Research in the domain of fake news spreader detection has not been explored much from a network analysis perspective. In t…
View article: Detecting Fake News Spreaders in Social Networks using Inductive\n Representation Learning
Detecting Fake News Spreaders in Social Networks using Inductive\n Representation Learning Open
An important aspect of preventing fake news dissemination is to proactively\ndetect the likelihood of its spreading. Research in the domain of fake news\nspreader detection has not been explored much from a network analysis\nperspective. I…