Row 32790
Content Data
This page contains data entry 32790 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Last comment I'll make on this deeply unpopular project idea, but for anyone interested in this area, I found a great [thread ](https://www.reddit.com/r/askscience/comments/12gu407/i_know_that_analyzing_facial_microexpressions_is/)from about a year ago. The verdict from the scientific community (according to Reddit) is that micro-expressions are a legitimate field of study backed by solid research-- their existence is not pseudoscience. However, mapping them to "lies" as is done in Lie to Me is likely impossible, for several reasons:
* Facial expressions do not map to emotions universally without context. * Even if you know someone is hiding a facial expression, and you can map someone's expression to an emotion they are feeling (unlikely, given the point above), still you can't tell for certain that a lie is being told due to noise coming from other factors that may cause the expression.
| Field | Value |
|---|---|
| text | Last comment I'll make on this deeply unpopular project idea, but for anyone interested in this area, I found a great [thread ](https://www.reddit.com/r/askscience/comments/12gu407/i_know_that_analyzing_facial_microexpressions_is/)from about a year ago. The verdict from the scientific community (according to Reddit) is that micro-expressions are a legitimate field of study backed by solid research-- their existence is not pseudoscience. However, mapping them to "lies" as is done in Lie to Me is … |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-21 |
| username_encoded | Z0FBQUFBQm5Lak1IeHhVQXFJTU03bnFGeG5sU3Nieml3cEdwbW1pODROdkJxa2lfejVoU0gySGp6V08xUkxDMTByLWdvd2dla2JOV1hrVTQ3Qkt5OS1BOENfRi1PUUlQLWxXUEs2Z2dRam1FTF9MeldkMWtsZlE9 |
| url_encoded | Z0FBQUFBQm5Lak9XVGFGbXF3WE1HaDBVNW9JRVpLdDNFdzVtbkZYdnU1NG5WWC1xdjRnMkVXeFlNQnlSY2hfUTVreFlmS2VCY2RtdGt2M3RjR3I1NWcwZE5jYlhnd0NvRmVpT0szT3BiUzlIYkZGSmQxR1dmR3BkR1Zha09ZX0JoWGRLUVhpbzAxaXRTaXJuR0pxQ1VuaW8tQndqWFdEaWxRNjRWZk0wV3NfWlctd0poMUpsT2RCQkpHdjVTMFRtNV9sWWdQdEpGUWVRUVZfZDhkME1nZDJTeGdNTkFtWTc4dz09 |
Raw Record
{
"text": "Last comment I'll make on this deeply unpopular project idea, but for anyone interested in this area, I found a great [thread ](https://www.reddit.com/r/askscience/comments/12gu407/i_know_that_analyzing_facial_microexpressions_is/)from about a year ago. The verdict from the scientific community (according to Reddit) is that micro-expressions are a legitimate field of study backed by solid research-- their existence is not pseudoscience. However, mapping them to \"lies\" as is done in Lie to Me is likely impossible, for several reasons:\n\n* Facial expressions do not map to emotions universally without context.\n* Even if you know someone is hiding a facial expression, and you can map someone's expression to an emotion they are feeling (unlikely, given the point above), still you can't tell for certain that a lie is being told due to noise coming from other factors that may cause the expression.",
"label": "r/machinelearning",
"dataType": "comment",
"communityName": "r/MachineLearning",
"datetime": "2024-05-21",
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}
Entry Information
- Entry ID: 32790
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000