Research Library
Browse recent Receptiviti and LIWC based research from our research community.
Evolving the Receptiviti Brand: Making the Science of Language More Usable
Receptiviti is evolving its brand to reflect how language-based psychology is used today: practical, decision-ready insight. Built on LIWC's peer-reviewed foundation, Receptiviti now supports both technical integration via API and easier access for business users through Loquent Applied Insights.
Read more →Introducing the First Module of Loquent Applied Insights: Report Generator
Loquent Applied Insights is Receptiviti's new suite for applied behavioural understanding — transforming natural language into clear, decision-ready insight.
Read more →AI Safety Is About the User Not Just the Model
Two major reports just revealed AI safety's biggest blind spot, and it's not about the models. The APA and Knight First Amendment Institute identified a risk: How LLMs influence users over multi-turn conversations.
Read more →AI's Moneyball Moment: Why Better Signal Extraction Will Matter More Than Scaling
Scaling built today's AI, but its next gains will come from better signal extraction — rigorous methods that unlock human insight already embedded in language.
Read more →How Diligent is your People Due Diligence Process?
Many early-stage failures come down to people — yet founder due diligence still overlooks key psychological risk factors. A practical, science-backed way for VC and PE firms to evaluate founders.
Read more →The 50‑Byte Fix for AI's Biggest Bottleneck: LLM Comprehension
Demo shows how a compact psychological layer boosts LLM comprehension and efficiency, without more parameters or compute.
Read more →Understanding Bias in AI and LLMs: A Psychological Perspective
Receptiviti's Head of Social Psychology partnered with Stanford, NYU, and UPenn to explore what large language models reveal about bias, personality, and objectivity.
Read more →Why Language Analysis Is the Missing Piece in Athlete Evaluation
Measure player intangibles objectively — mindset, adaptability, leadership — with language-based psychological analysis.
Read more →Language-based Markers Predict PTSD Symptoms Post-Trauma
Researchers sought to identify early predictors of psychiatric disorders such as post-traumatic stress disorder using language analysis.
Read more →Interactive Earnings Call Demo: Moving Beyond Sentiment Analysis
During earnings calls, there is more to uncover about companies than just performance updates and financial metrics. Hidden signals in language reveal deeper insights.
Read more →Identifying Depression and Suicidal Ideation through Language Analysis
Researchers conducted a study to determine clues of depression and suicidal ideation in college students' writing.
Read more →Transforming NFL Recruitment and Talent Assessment with the Receptiviti API
Psycholinguistics reveals the why behind audience behavior, turning language into actionable insights for smarter, human-centered decisions.
Read more →Psychological Awareness: The Missing Layer in Large Language Models
Current LLMs lack deep psychological awareness, limiting their abilities in fields like mental health, education, and customer service.
Read more →Using Language To Predict Mental Health in Remote Communities
Researchers studied the effectiveness of e-Mental health services in Australia for individuals living in rural and remote areas.
Read more →The Evolution of Audience Data in Marketing
Psycholinguistics reveals the why behind audience behavior, turning language into actionable insights for smarter, human-centered marketing.
Read more →Predicting Substance Use Disorder Treatment Outcomes Using Facebook Language Analysis
Researchers aimed to identify early indicators of who will remain in or leave treatment for substance use disorder.
Read more →Identifying Depression Through Language Use
Researchers introduce a linguistic measure of depressed language and explore its effectiveness in capturing depressed mental states.
Read more →Yes, You Can Predict Loan Default from Loan Application Text
Analyzing text from online loan requests improves predictions of loan default by providing a more nuanced view of borrower risk.
Read more →Enhancing Accuracy in Personality Assessment with Psycholinguistics
Integrating psychometrics with psycholinguistics offers a more nuanced view of personality, complementing self-reports with behavioral data.
Read more →How Speaking vs. Writing to Chatbots Affects Consumer Choices and Satisfaction
Learn how voice vs. text interactions with chatbots can shape consumer choices and impact brand appeal.
Read more →