{"title":"How-To in Short-Form: A Framework for Analyzing Short-Format Instructional Content on TikTok","authors":"Julie A. Vera, David W. McDonald, M. Zachry","doi":"10.55177/tc152088","DOIUrl":null,"url":null,"abstract":"Purpose: TikTok’s rise in popularity has invited creators across a broad spectrum of interests to contribute content to the platform, including non-expert, instructional subject matter. Previously, technical communication scholars have described ways to assess video instruction\n online, in relatively long-format lengths. Our project outlines a framework for assessing the video production qualities of instructional content across TikTok. Method: We performed a content analysis of existing frameworks and sets of heuristics for assessing long-format instructional\n videos. We then analyzed a set of instructional content found across the TikTok platform and analyzed them using previous frameworks. After comparing and contrasting, we developed a new framework for assessing short-format video instructional content. Results: After assessing long-format\n instructional video frameworks and instructional content found across TikTok, we found that many dimensions and heuristics from previous frameworks applied to short-format video. Unique to short-form video were the dimensions of tempo and level of detail, which describe the pacing of the video\n from a temporal perspective and the fidelity of instruction, respectively. Instruction on TikTok can take place without explicit step-by-step instruction. Conclusion: We found that many dimensions and heuristics from long-form frameworks carry over to short-form video, but there\n are features, social norms, and creative norms on TikTok that lend themselves well to “bite-sized” instruction.","PeriodicalId":46338,"journal":{"name":"Technical Communication","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technical Communication","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.55177/tc152088","RegionNum":4,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: TikTok’s rise in popularity has invited creators across a broad spectrum of interests to contribute content to the platform, including non-expert, instructional subject matter. Previously, technical communication scholars have described ways to assess video instruction
online, in relatively long-format lengths. Our project outlines a framework for assessing the video production qualities of instructional content across TikTok. Method: We performed a content analysis of existing frameworks and sets of heuristics for assessing long-format instructional
videos. We then analyzed a set of instructional content found across the TikTok platform and analyzed them using previous frameworks. After comparing and contrasting, we developed a new framework for assessing short-format video instructional content. Results: After assessing long-format
instructional video frameworks and instructional content found across TikTok, we found that many dimensions and heuristics from previous frameworks applied to short-format video. Unique to short-form video were the dimensions of tempo and level of detail, which describe the pacing of the video
from a temporal perspective and the fidelity of instruction, respectively. Instruction on TikTok can take place without explicit step-by-step instruction. Conclusion: We found that many dimensions and heuristics from long-form frameworks carry over to short-form video, but there
are features, social norms, and creative norms on TikTok that lend themselves well to “bite-sized” instruction.