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Essays on Social Media Content Delivery and Engagement
Essays on Social Media Content Delivery and Engagement
Essays on Social Media Content Delivery and Engagement

상세정보

자료유형  
 학위논문 서양
최종처리일시  
20250211151353
ISBN  
9798382783413
DDC  
640
저자명  
Shen, Lucy.
서명/저자  
Essays on Social Media Content Delivery and Engagement
발행사항  
[Sl] : Harvard University, 2024
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2024
형태사항  
151 p
주기사항  
Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
주기사항  
Advisor: Ofek, Elie.
학위논문주기  
Thesis (Ph.D.)--Harvard University, 2024.
초록/해제  
요약This dissertation studies how social media content delivery across channels and formats affects user engagement. The first chapter investigates the effects of transience on content creation and consumption and how social media influencers can use permanent and transient channels to maximize follower engagement. Using computer vision and deep learning methods, we extract image quality and embeddings from a novel dataset of Instagram content to compare transient and permanent content and investigate how such differences affect follower engagement. The findings reveal that influencers can increase engagement by publishing more professional content in permanent channels and more personal and authentic content in transient channels.The second chapter studies how consumers perceive time when watching long-form videos vs. short-form videos. We find that viewers who successively watch a series of short-form video clips underestimate total time spent watching videos, compared to viewers who viewed the same video content and length presented as one long-form video. This time underestimation effect occurs because shorter videos naturally induce more viewer action to continue video consumption, i.e., clicking or swiping to the next video. These content-unrelated actions divert viewer attention from the actual video content, leading to lower perceptions of time spent on watching videos. Together, the findings demonstrate one explanation for the increased consumption of short-form videos in recent years: when watching short-form videos, consumers are more prone to losing track of time and spend more time than they anticipate.The final chapter concludes with an assessment of social media moving forward, specifically on the implications of GAI on influencer marketing. Incorporating interviews with an influencer and a digital talent agency, I describe AI use cases in influencer marketing as well as benefits and challenges that it poses for influencer marketing. The chapter concludes with suggested directions for future research.
일반주제명  
Home economics
일반주제명  
Web studies
키워드  
Social media
키워드  
Content creation
키워드  
Follower engagement
키워드  
Short-form videos
키워드  
Influencer marketing
기타저자  
Harvard University Business Administration
기본자료저록  
Dissertations Abstracts International. 85-12B.
전자적 위치 및 접속  
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■020    ▼a9798382783413
■035    ▼a(MiAaPQ)AAI31243457
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a640
■1001  ▼aShen,  Lucy.▼0(orcid)0009-0000-0003-7557
■24510▼aEssays  on  Social  Media  Content  Delivery  and  Engagement
■260    ▼a[Sl]▼bHarvard  University▼c2024
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2024
■300    ▼a151  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  85-12,  Section:  B.
■500    ▼aAdvisor:  Ofek,  Elie.
■5021  ▼aThesis  (Ph.D.)--Harvard  University,  2024.
■520    ▼aThis  dissertation  studies  how  social  media  content  delivery  across  channels  and  formats  affects  user  engagement.  The  first  chapter  investigates  the  effects  of  transience  on  content  creation  and  consumption  and  how  social  media  influencers  can  use  permanent  and  transient  channels  to  maximize  follower  engagement.  Using  computer  vision  and  deep  learning  methods,  we  extract  image  quality  and  embeddings  from  a  novel  dataset  of  Instagram  content  to  compare  transient  and  permanent  content  and  investigate  how  such  differences  affect  follower  engagement.  The  findings  reveal  that  influencers  can  increase  engagement  by  publishing  more  professional  content  in  permanent  channels  and  more  personal  and  authentic  content  in  transient  channels.The  second  chapter  studies  how  consumers  perceive  time  when  watching  long-form  videos  vs.  short-form  videos.  We  find  that  viewers  who  successively  watch  a  series  of  short-form  video  clips  underestimate  total  time  spent  watching  videos,  compared  to  viewers  who  viewed  the  same  video  content  and  length  presented  as  one  long-form  video.  This  time  underestimation  effect  occurs  because  shorter  videos  naturally  induce  more  viewer  action  to  continue  video  consumption,  i.e.,  clicking  or  swiping  to  the  next  video.  These  content-unrelated  actions  divert  viewer  attention  from  the  actual  video  content,  leading  to  lower  perceptions  of  time  spent  on  watching  videos.  Together,  the  findings  demonstrate  one  explanation  for  the  increased  consumption  of  short-form  videos  in  recent  years:  when  watching  short-form  videos,  consumers  are  more  prone  to  losing  track  of  time  and  spend  more  time  than  they  anticipate.The  final  chapter  concludes  with  an  assessment  of  social  media  moving  forward,  specifically  on  the  implications  of  GAI  on  influencer  marketing.  Incorporating  interviews  with  an  influencer  and  a  digital  talent  agency,  I  describe  AI  use  cases  in  influencer  marketing  as  well  as  benefits  and  challenges  that  it  poses  for  influencer  marketing.  The  chapter  concludes  with  suggested  directions  for  future  research.
■590    ▼aSchool  code:  0084.
■650  4▼aHome  economics
■650  4▼aWeb  studies
■653    ▼aSocial  media
■653    ▼aContent  creation
■653    ▼aFollower  engagement
■653    ▼aShort-form  videos
■653    ▼aInfluencer  marketing
■690    ▼a0310
■690    ▼a0338
■690    ▼a0646
■690    ▼a0386
■71020▼aHarvard  University▼bBusiness  Administration.
■7730  ▼tDissertations  Abstracts  International▼g85-12B.
■790    ▼a0084
■791    ▼aPh.D.
■792    ▼a2024
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17161417▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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