AI Revolutionizes Social Research, Bridging The Gap Between Quantitative – Qualitative

The revolution of Artificial Intelligence is definitely here, and things are evolving exponentially. Here are the latest reports about the ways in which AI is disrupting social research.

AI and social research

According to the latest reports, AI can now bridge the gap between quantitative and qualitative methods. Cryptopolitan notes the fact that the landscape of social research undergoes a massive transformation with the advent of large language models of AI.

The QAI systems, which are powered by generative models such as ChatGPT and Google’s Gemini hold a huge promise of revolutionizing how we understand the thoughts, opinions, and motivations of societies and individuals.

AI has the potential to bridge the gap between quantitative and qualitative research by enabling human-like conversations and analyzing large amounts of data.

For a long time, traditional social research has struggled with answering two fundamental questions: what and why? While quantitative methods like polls provide insights into the “what,” qualitative approaches like interviews and focus groups are necessary to understand the “why.”

AI is revolutionizing research methods by offering a scalable solution that combines qualitative depth with quantitative breadth.

The use of AI in social research is demonstrated by its ability to conduct interactive dialogues, similar to a qualitative interview.

AI systems have the ability to generate questions, understand motivations, and adjust their approach based on the responses received.

This approach not only helps researchers gain deeper insights into individuals’ attitudes and behaviors but also allows for engagement with a much larger and diverse population.

The online publication that we mentioned above notes the fact that there’s a recent experiment that has been conducted by the Scandinavian researchers which exemplifies the potential of AI in social research like we said above.

This is able to provide various benefits, including boosted efficiency, analysis depth, and a higher scalability. Check out more intriguing details about the matter in the original article. 

Rada Mateescu
I'm hungry for truth, thirsty to learn, and eager to share. At Optic Flux, my goal is to deliver breaking juicy health, financial, and tech/science-related content. I focus on all that's meaningful and impactful for my readers.