PDF Publication Title:
Text from PDF Page: 039
CHAPTER 5. DISCUSSION 32 thrive for generations to come. 5.3 Future Work In my research, I interviewed hobbyist YouTubers, as well as analyzed video content from hobbyist creators. Most of these hobbyist creators are vloggers, who make lifestyle content. In future work, I’d like to explore how larger creators, and creators from different genres, make sense of the algorithm. Do they share similar perceptions and concerns as hobbyist YouTubers? If not, what perceptions and concerns do they have? Also, celebrities from the traditional media are becoming YouTubers. What are their motivations for joining the platform? What are their understandings of the algorithm as it dictates their work? Do they think they are immune to the algorithm due to their celebrity status? Finally, I’d like to dive deeper into YouTube’s various strategies to curtail the spread of harmful content. Although YouTube does not disclose their machine learning systems, it would be interesting to investigate how other platforms approach similar situations, and how YouTube’s approach should differ given the nature of its platform. 5.4 Conclusion My research collaborators and I engaged with hobbyist YouTube content creators, individu- als who are significantly impacted by algorithmic decisions, to learn how they make sense of the algorithm. We engaged in ethnographic field work and used design as provocation; we also sought to find people where they are by analyzing native formats of information shar- ing. Our study shows that hobbyist YouTube content creators crafted algorithmic personas to facilitate and augment their discussions in the process of collective sense-making of the algorithm. They assign anthropomorphic features and cultural values to the algorithm. We categorized our themes into three major personas that repeatedly came up: Agent, Gate- keeper, and Drug Dealer. An Agent promotes the content creator and procures employment for them. A Gatekeeper stands between the creator and viewers and decides which videos can get views. A Drug Dealer aims to keep viewers hooked on the platform for as long as pos- sible. These three personas are multi-dimensional and there are overlaps among them. They act as conceptual devices that help content creators make sense of the algorithm’s behavior. Through the lens of the algorithmic personas crafted by YouTube content creators, we can enrich our understanding of algorithms and their impact in the real world. We explore the design and policy implications derived from each of the three algorithmic personas. Algo- rithmic personas, invoking human characteristics in code-base algorithmic artifacts, enable designers and policy makers to design for human-to-computer systems with human-to-human relations as guides. Our study also shows that YouTubers believe the algorithm favors con- troversial content, and that watch time, the thumbnail photo, and the video title are the most indicative factors of a viral video. Creators are frustrated with the platform, hopingPDF Image | How Content Creators Craft Algorithmic Personas and Perceive the Algorithm that Dictates their Work
PDF Search Title:
How Content Creators Craft Algorithmic Personas and Perceive the Algorithm that Dictates their WorkOriginal File Name Searched:
EECS-2019-48.pdfDIY PDF Search: Google It | Yahoo | Bing
Cruise Ship Reviews | Luxury Resort | Jet | Yacht | and Travel Tech More Info
Cruising Review Topics and Articles More Info
Software based on Filemaker for the travel industry More Info
The Burgenstock Resort: Reviews on CruisingReview website... More Info
Resort Reviews: World Class resorts... More Info
The Riffelalp Resort: Reviews on CruisingReview website... More Info
| CONTACT TEL: 608-238-6001 Email: greg@cruisingreview.com | RSS | AMP |