A Controlled Crowdsourcing Approach for Practical Ontology Extensions and Metadata Annotations
Crowdsourcing Metadata
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Transcript of Crowdsourcing Metadata
![Page 1: Crowdsourcing Metadata](https://reader035.fdocuments.in/reader035/viewer/2022062902/58ee0ac51a28ab1d3c8b4597/html5/thumbnails/1.jpg)
Understanding What Users Need to Understand Us (and Our Data):
Crowdsourcing MetadataEdward Benoit, III
School of Library & Information Science, LSU
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Previous Research & Focus
• Tagging studies main focus on still images or text
• User-generated content as time saving mechanism
• Challenges and opportunities of moving images • Initial research question: What effect does
online video length have on crowdsourced metadata/user-generated tags?
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Methodology• Mixed methods, quasi-experimental
two-group design• 40 participants randomly assigned to 2
groups and tag:– One 30 minute video -OR-– Three 10 minute videos
• Analysis:– Open coding– Descriptive statistics
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Sample Video(s):LDMA
http://www.ladigitalmedia.org/
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Participants• Gender: 22.5% Male, 77.5%Female• Age: 19-65; 30.9 Mean• Location: 65% Louisiana• Race:
– 77.5% White– 10% Black– 5% Hispanic– 5% Asian– 2.5% Other
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Number of Tags: Short Videos
S1 S2 S3 S4 S5 S6 S7 S8 S9 S10 S11 S12 S13 S14 S15 S16 S17 S18 S19 S200
5
10
15
20
25
30
Video 1 Video 2 Video 3
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Sample Video(s):LDMA
Long Video Short VideosTotal Tags 322 555
Avg Tags/User 16.1 27.75
Total Unique Tags (by users)
322 496
Avg Unique Tags/User 16.1 24.8
Total Unique Tags 175 281
Statistically significant difference between the number of tags generated for the long video (M=16.1, SD=22.6) and the short videos (M=27.75, SD=12.1); t(38)=-3.11, p=0.004.
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Top Tags
Long Video• Christmas (14)• Papa Noel (13)• cajun (10)• Louisiana (9)• Cajun Night Before Christmas
(6)• Lafayette (6)• Natchitoches (6)• Bayou (5)• Cajun Christmas (5)• Fireworks (5)
Short Videos• Cajun Christmas (19)• Louisiana (17)• Christmas (16)• Papa Noel (16)• Cajun (12)• Bayou (11)• Bayou Parade (11)• Cajun Night Before Christmas
(10)• Food (9)
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Metadata Comparison
• Compiled list of metadata words• Post-stop list removal, 89 words• Compared with generated tags:
– Full Video: 41.6% matching– Short Videos: 48.3% matching
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Main Types of Tags• Content description
• Identification (persons, places, music)
• Emotional responses
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Future Directions
• Comparison of amateur and professional online videos
• Tagging enticement techniques
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Thank you!Questions?