FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3092599002> ?p ?o ?g. }

• W3092599002 endingPage "e23021" @default.
• W3092599002 startingPage "e23021" @default.
• W3092599002 abstract "Recruitment of health research participants through social media is becoming more common. In the United States, 80% of adults use at least one social media platform. Social media platforms may allow researchers to reach potential participants efficiently. However, online research methods may be associated with unique threats to sample validity and data integrity. Limited research has described issues of data quality and authenticity associated with the recruitment of health research participants through social media, and sources of low-quality and fraudulent data in this context are poorly understood.The goal of the research was to describe and explain threats to sample validity and data integrity following recruitment of health research participants through social media and summarize recommended strategies to mitigate these threats. Our experience designing and implementing a research study using social media recruitment and online data collection serves as a case study.Using published strategies to preserve data integrity, we recruited participants to complete an online survey through the social media platforms Twitter and Facebook. Participants were to receive $15 upon survey completion. Prior to manually issuing remuneration, we reviewed completed surveys for indicators of fraudulent or low-quality data. Indicators attributable to respondent error were labeled suspicious, while those suggesting misrepresentation were labeled fraudulent. We planned to remove cases with 1 fraudulent indicator or at least 3 suspicious indicators.Within 7 hours of survey activation, we received 271 completed surveys. We classified 94.5% (256/271) of cases as fraudulent and 5.5% (15/271) as suspicious. In total, 86.7% (235/271) provided inconsistent responses to verifiable items and 16.2% (44/271) exhibited evidence of bot automation. Of the fraudulent cases, 53.9% (138/256) provided a duplicate or unusual response to one or more open-ended items and 52.0% (133/256) exhibited evidence of inattention.Research findings from several disciplines suggest studies in which research participants are recruited through social media are susceptible to data quality issues. Opportunistic individuals who use virtual private servers to fraudulently complete research surveys for profit may contribute to low-quality data. Strategies to preserve data integrity following research participant recruitment through social media are limited. Development and testing of novel strategies to prevent and detect fraud is a research priority." @default.
• W3092599002 created "2020-10-15" @default.
• W3092599002 creator A5010632532 @default.
• W3092599002 creator A5013817896 @default.
• W3092599002 creator A5014360467 @default.
• W3092599002 creator A5032378308 @default.
• W3092599002 creator A5070876018 @default.
• W3092599002 creator A5074342396 @default.
• W3092599002 creator A5075568815 @default.
• W3092599002 creator A5078637324 @default.
• W3092599002 date "2020-10-07" @default.
• W3092599002 modified "2023-10-17" @default.
• W3092599002 title "Threats of Bots and Other Bad Actors to Data Quality Following Research Participant Recruitment Through Social Media: Cross-Sectional Questionnaire" @default.
• W3092599002 cites W1587788447 @default.
• W3092599002 cites W1997857508 @default.
• W3092599002 cites W2093274439 @default.
• W3092599002 cites W2112747875 @default.
• W3092599002 cites W2117633598 @default.
• W3092599002 cites W2146671484 @default.
• W3092599002 cites W2212317641 @default.
• W3092599002 cites W2262445034 @default.
• W3092599002 cites W2331462388 @default.
• W3092599002 cites W2425016936 @default.
• W3092599002 cites W2479326432 @default.
• W3092599002 cites W2491853282 @default.
• W3092599002 cites W2517008456 @default.
• W3092599002 cites W2551801052 @default.
• W3092599002 cites W2555545138 @default.
• W3092599002 cites W2747587219 @default.
• W3092599002 cites W2799393207 @default.
• W3092599002 cites W2801228313 @default.
• W3092599002 cites W2899742116 @default.
• W3092599002 cites W2900420874 @default.
• W3092599002 cites W2901009078 @default.
• W3092599002 cites W2911768687 @default.
• W3092599002 cites W2914472042 @default.
• W3092599002 cites W2936565412 @default.
• W3092599002 cites W2945839126 @default.
• W3092599002 cites W2950496581 @default.
• W3092599002 cites W2969640702 @default.
• W3092599002 cites W3123404044 @default.
• W3092599002 doi "https://doi.org/10.2196/23021" @default.
• W3092599002 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7578815" @default.
• W3092599002 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33026360" @default.
• W3092599002 hasPublicationYear "2020" @default.
• W3092599002 type Work @default.
• W3092599002 sameAs 3092599002 @default.
• W3092599002 citedByCount "88" @default.
• W3092599002 countsByYear W30925990022020 @default.
• W3092599002 countsByYear W30925990022021 @default.
• W3092599002 countsByYear W30925990022022 @default.
• W3092599002 countsByYear W30925990022023 @default.
• W3092599002 crossrefType "journal-article" @default.
• W3092599002 hasAuthorship W3092599002A5010632532 @default.
• W3092599002 hasAuthorship W3092599002A5013817896 @default.
• W3092599002 hasAuthorship W3092599002A5014360467 @default.
• W3092599002 hasAuthorship W3092599002A5032378308 @default.
• W3092599002 hasAuthorship W3092599002A5070876018 @default.
• W3092599002 hasAuthorship W3092599002A5074342396 @default.
• W3092599002 hasAuthorship W3092599002A5075568815 @default.
• W3092599002 hasAuthorship W3092599002A5078637324 @default.
• W3092599002 hasBestOaLocation W30925990021 @default.
• W3092599002 hasConcept C105795698 @default.
• W3092599002 hasConcept C108827166 @default.
• W3092599002 hasConcept C111472728 @default.
• W3092599002 hasConcept C133462117 @default.
• W3092599002 hasConcept C136764020 @default.
• W3092599002 hasConcept C138885662 @default.
• W3092599002 hasConcept C144133560 @default.
• W3092599002 hasConcept C151730666 @default.
• W3092599002 hasConcept C15744967 @default.
• W3092599002 hasConcept C162853370 @default.
• W3092599002 hasConcept C176217482 @default.
• W3092599002 hasConcept C17744445 @default.
• W3092599002 hasConcept C199539241 @default.
• W3092599002 hasConcept C24756922 @default.
• W3092599002 hasConcept C2776640315 @default.
• W3092599002 hasConcept C2779343474 @default.
• W3092599002 hasConcept C2779530757 @default.
• W3092599002 hasConcept C2779602731 @default.
• W3092599002 hasConcept C33923547 @default.
• W3092599002 hasConcept C41008148 @default.
• W3092599002 hasConcept C518677369 @default.
• W3092599002 hasConcept C71924100 @default.
• W3092599002 hasConcept C75630572 @default.
• W3092599002 hasConcept C86803240 @default.
• W3092599002 hasConceptScore W3092599002C105795698 @default.
• W3092599002 hasConceptScore W3092599002C108827166 @default.
• W3092599002 hasConceptScore W3092599002C111472728 @default.
• W3092599002 hasConceptScore W3092599002C133462117 @default.
• W3092599002 hasConceptScore W3092599002C136764020 @default.
• W3092599002 hasConceptScore W3092599002C138885662 @default.
• W3092599002 hasConceptScore W3092599002C144133560 @default.
• W3092599002 hasConceptScore W3092599002C151730666 @default.
• W3092599002 hasConceptScore W3092599002C15744967 @default.
• W3092599002 hasConceptScore W3092599002C162853370 @default.
• W3092599002 hasConceptScore W3092599002C176217482 @default.
• W3092599002 hasConceptScore W3092599002C17744445 @default.

• next