FakeNewsPerception: An Eye Movement Dataset on the Perceived Believability of News Stories
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'FakeNewsPerception: An Eye Movement Dataset on the Perceived Believability of News StoriesExtensive use of the internet has enabled easy access to many different sources, such as news and social media. Content shared on the internet cannot be fully fact-checked, and as a result, misinformation can spread in a fast and easy way. Recently, psychologists and economists have shown in many experiments that prior beliefs, knowledge, and the willingness to think deliberately are important determinants to explain who falls for fake news. Many of these studies only rely on self-reports, which suffer from social desirability, and that we need more objective measures of information processing such as eye movements during reading news. To provide the research community the opportunity to study human behaviors on the news truthness, we propose the' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["eye tracking, human-computer interaction, machine learning"]} <|eot_id|>
 Here is the Description of a dataset. Description:'FakeNewsPerception: An Eye Movement Dataset on the Perceived Believability of News StoriesExtensive use of the internet has enabled easy access to many different sources, such as news and social media. Content shared on the internet cannot be fully fact-checked, and as a result, misinformation can spread in a fast and easy way. Recently, psychologists and economists have shown in many experiments that prior beliefs, knowledge, and the willingness to think deliberately are important determinants to explain who falls for fake news. Many of these studies only rely on self-reports, which suffer from social desirability, and that we need more objective measures of information processing such as eye movements during reading news. To provide the research community the opportunity to study human behaviors on the news truthness, we propose the' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
FakeNewsPerception: An Eye Movement Dataset on the Perceived Believability of News StoriesExtensive use of the internet has enabled easy access to many different sources, such as news and social media. Content shared on the internet cannot be fully fact-checked, and as a result, misinformation can spread in a fast and easy way. Recently, psychologists and economists have shown in many experiments that prior beliefs, knowledge, and the willingness to think deliberately are important determinants to explain who falls for fake news. Many of these studies only rely on self-reports, which suffer from social desirability, and that we need more objective measures of information processing such as eye movements during reading news. To provide the research community the opportunity to study human behaviors on the news truthness, we propose the
eye tracking, human-computer interaction, machine learning