Row 3834
Content Data
This page contains data entry 3834 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
**New research indicates that personalized chatbots, like those based on GPT-4, are more effective at persuading people in debates than humans are**, particularly when they utilize personal information about their debate opponents.
**Quick recap:**
* Personalized chatbots using GPT-4 technology demonstrated an **81.7% increase** in persuading participants to agree with their viewpoints compared to human debaters. * The study highlighted the **effectiveness** of chatbots in using basic personal information (such as age, gender, and race) to craft **tailored arguments** that resonate more deeply with individuals. * There's a potential risk of malicious use of detailed digital profiles, including social media activities and purchasing behaviors, to enhance chatbots' persuasive capabilities. * Researchers suggest online platforms should employ AI-driven systems to present fact-based counterarguments against misinformation, addressing the challenges posed by persuasive AI in sensitive contexts.
[Source (The Decoder)](https://the-decoder.com/a-personalized-chatbot-is-more-likely-to-change-your-mind-than-another-human-study-finds/)
**PS: If you enjoyed this post**, [you’ll love my newsletter](http://techpresso.xyz/). It’s already being read by 90,000+ professionals from OpenAI, Google, Meta…
| Field | Value |
|---|---|
| text | **New research indicates that personalized chatbots, like those based on GPT-4, are more effective at persuading people in debates than humans are**, particularly when they utilize personal information about their debate opponents. **Quick recap:** * Personalized chatbots using GPT-4 technology demonstrated an **81.7% increase** in persuading participants to agree with their viewpoints compared to human debaters. * The study highlighted the **effectiveness** of chatbots in using basic personal… |
| label | r/gpt3 |
| dataType | post |
| communityName | r/GPT3 |
| datetime | 2024-03-25 |
| username_encoded | Z0FBQUFBQm5LakwxUDNlM04xZ2hwTThvc3B2TDJ3MDViYXBqQ3B4R2h4Unh3RVBVSUpVNDdTYVFPZnVSYU1XYkpIRzNMTFZxLWJwUm9HYTFHcGFuUkVEcDdKcjRHRWF3UVE9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9FNzNoX0dFcHhSVjVwY21RZVhIdUY5NFd1X085UGdjTWtid0ZJSVpic3JmQWNvSnZfd3FsZUZhNXdEek5XRFFpV19WdnQzRTFnVjF6T1U3LXBsUGNVMnR5T09vNUpKUHN4ME5rLUFnYkZJZURXT2hIYnhuUGk2dHlNd1IzUmpPLXU4X1owdkN5R281bVZIaGFSQnZQcmZuV2dpWkdTRzhHQVI4b19KdU45ZHRrQ1prcmNNcGZsS2NfREh1Sk1UQmpp |
Raw Record
{
"text": "**New research indicates that personalized chatbots, like those based on GPT-4, are more effective at persuading people in debates than humans are**, particularly when they utilize personal information about their debate opponents.\n\n**Quick recap:**\n\n* Personalized chatbots using GPT-4 technology demonstrated an **81.7% increase** in persuading participants to agree with their viewpoints compared to human debaters.\n* The study highlighted the **effectiveness** of chatbots in using basic personal information (such as age, gender, and race) to craft **tailored arguments** that resonate more deeply with individuals.\n* There's a potential risk of malicious use of detailed digital profiles, including social media activities and purchasing behaviors, to enhance chatbots' persuasive capabilities.\n* Researchers suggest online platforms should employ AI-driven systems to present fact-based counterarguments against misinformation, addressing the challenges posed by persuasive AI in sensitive contexts.\n\n[Source (The Decoder)](https://the-decoder.com/a-personalized-chatbot-is-more-likely-to-change-your-mind-than-another-human-study-finds/)\n\n**PS: If you enjoyed this post**, [you’ll love my newsletter](http://techpresso.xyz/). It’s already being read by 90,000+ professionals from OpenAI, Google, Meta…",
"label": "r/gpt3",
"dataType": "post",
"communityName": "r/GPT3",
"datetime": "2024-03-25",
"username_encoded": "Z0FBQUFBQm5LakwxUDNlM04xZ2hwTThvc3B2TDJ3MDViYXBqQ3B4R2h4Unh3RVBVSUpVNDdTYVFPZnVSYU1XYkpIRzNMTFZxLWJwUm9HYTFHcGFuUkVEcDdKcjRHRWF3UVE9PQ==",
"url_encoded": "Z0FBQUFBQm5Lak9FNzNoX0dFcHhSVjVwY21RZVhIdUY5NFd1X085UGdjTWtid0ZJSVpic3JmQWNvSnZfd3FsZUZhNXdEek5XRFFpV19WdnQzRTFnVjF6T1U3LXBsUGNVMnR5T09vNUpKUHN4ME5rLUFnYkZJZURXT2hIYnhuUGk2dHlNd1IzUmpPLXU4X1owdkN5R281bVZIaGFSQnZQcmZuV2dpWkdTRzhHQVI4b19KdU45ZHRrQ1prcmNNcGZsS2NfREh1Sk1UQmpp"
}
Entry Information
- Entry ID: 3834
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000