Social Media Sensationalism in the Male Infertility Space: A Mixed Methodology Analysis
<|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:'Purpose: Infertile couples increasingly turn to the internet for medical guidance. The aims of this study were: (1) to identify popular male infertility content on social media, and (2) to assess the accuracy and quality of this content. We hypothesizedthat inaccurate/misleading information proliferates online.Materials and Methods: We used the analytics module BuzzSumo to identify article links that were most shared on Facebook, Pinterest, Reddit, and Twitter related to male infertility during September 2018 to August 2019. We excluded articles with<100 engagements, defined as “likes,” “comments,” and “shares.” Two researchers graded content as accurate, misleading, or inaccurate by comparing content to references cited and contemporary research. Inter-rater reliability was determined withCohen’s κ. Binary logistic regression wa' . 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" : ["Infertility, male","Internet","Social media","Sperm"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Purpose: Infertile couples increasingly turn to the internet for medical guidance. The aims of this study were: (1) to identify popular male infertility content on social media, and (2) to assess the accuracy and quality of this content. We hypothesizedthat inaccurate/misleading information proliferates online.Materials and Methods: We used the analytics module BuzzSumo to identify article links that were most shared on Facebook, Pinterest, Reddit, and Twitter related to male infertility during September 2018 to August 2019. We excluded articles with<100 engagements, defined as “likes,” “comments,” and “shares.” Two researchers graded content as accurate, misleading, or inaccurate by comparing content to references cited and contemporary research. Inter-rater reliability was determined withCohen’s κ. Binary logistic regression wa' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Purpose: Infertile couples increasingly turn to the internet for medical guidance. The aims of this study were: (1) to identify popular male infertility content on social media, and (2) to assess the accuracy and quality of this content. We hypothesizedthat inaccurate/misleading information proliferates online.Materials and Methods: We used the analytics module BuzzSumo to identify article links that were most shared on Facebook, Pinterest, Reddit, and Twitter related to male infertility during September 2018 to August 2019. We excluded articles with<100 engagements, defined as “likes,” “comments,” and “shares.” Two researchers graded content as accurate, misleading, or inaccurate by comparing content to references cited and contemporary research. Inter-rater reliability was determined withCohen’s κ. Binary logistic regression wa
Infertility, male; Internet; Social media; Sperm