Research in Media and Communication

Fragmented Narratives and Context Loss in Short-Video News Communication

Jiang Wen — 2026-05-19

Short-video platforms have become an important channel for news consumption, but their emphasis on brevity, speed, and visual impact can weaken the coherence of news narratives. This paper examines how short-video news becomes fragmented through narrative compression, selective editing, repeated circulation, and platform-driven distribution. It focuses on three forms of context loss: the separation of events from their temporal and causal background, the weakening of source and evidential information, and the use of emotional framing that encourages rapid judgment. The paper also discusses why later explanations, corrections, and longer follow-up reports do not always restore the missing context, especially when users encounter clips in an incomplete or disordered sequence. It argues that the problem is not shortness itself, but the presentation of partial information as if it were a complete account. To reduce misunderstanding, short-video news should preserve essential timelines, source labels, uncertainty markers, and links between initial reports and later updates. Effective context preservation requires cooperation among news producers, platforms, reposting accounts, and audiences.

The Boundaries of News Headline Expression Under Traffic Pressure

Xu Mingwem — 2026-06-03

News headlines are a key part of online news communication. They shape readers’ first understanding of an event and often decide whether an article receives attention. Under traffic pressure, headline writing may give more weight to clicks, shares, comments, and platform exposure. This can lead to emotional wording, exaggerated conflict, incomplete information, vague claims, and strong moral labels. These methods may increase short-term attention, but they can also weaken factual accuracy, remove important context, guide public emotion, and harm personal rights. This paper discusses the main boundaries of headline expression from four aspects: accuracy, context, emotional guidance, and personal rights. It also examines why these boundaries become unclear, including traffic-based evaluation, platform recommendation, fast publication, imitation among news organisations, and divided editorial responsibility. The paper argues that headline control should not depend only on the judgment of individual reporters. News organisations need clearer editorial rules, broader quality standards, stronger consistency between headlines and articles, and more visible correction practices. Platforms should also reduce rewards for misleading and highly emotional headlines. Attention remains necessary in news communication, but it should come from clear facts and public value rather than distortion.

Emotional Framing in the Naming of Weibo Hot Search Topics

Chen Yu — 2026-06-16

Weibo hot search topic names often serve as the first point of contact between users and public events. These names do more than identify what happened. Through word choice, sentence structure, and the selection of details, they can guide users toward anger, sympathy, fear, blame, or moral judgment. This paper examines the naming logic of Weibo hot search topics and focuses on several common forms of emotional framing, including conflict-oriented naming, moralized naming, and sympathy-oriented naming. It also discusses how these forms affect early judgment, remove context, strengthen group emotion, and create lasting labels for the people involved. The paper argues that emotional expression is not always improper, but it becomes problematic when emotion replaces facts, hides uncertainty, or assigns responsibility too early. Hot search topic names should keep the main action, source, time, and level of certainty clear. Stronger editorial review and timely correction are also needed when the wording may mislead users or cause harm.

Incomplete Information and Public Opinion Reversal in Online Public Events

Xie Wenxu — 2026-07-08

Online public events often develop through incomplete and unevenly distributed information. Short videos, screenshots, personal statements, and reposted fragments can quickly shape public judgment before the full facts are known. Once a clear moral narrative forms, comments, repeated sharing, and media coverage may make the first interpretation appear more certain than the available evidence allows. Later recordings, official findings, or responses from other parties can overturn this interpretation and produce a rapid reversal of public opinion. This paper examines how incomplete information contributes to early judgment, how new evidence changes the public narrative, and why reversal often creates a new target of blame rather than a more careful understanding of the event. It also considers the role of platforms and news media in widening the visibility gap between early claims and later clarification. The paper argues that repeated reversals can cause reputational harm, intensify online hostility, and weaken trust in public communication. More responsible communication requires clear distinctions between confirmed facts, personal claims, disputed information, and unresolved questions.

Generative AI in Digital Newsrooms: A Systematic Review of Disclosure, Human Editorial Oversight, News Credibility, Audience Trust, and Journalistic Autonomy with Implications for Ghanaian Journalism

Miracle Atianashie — 2026-09-11

Generative artificial intelligence (GenAI) is increasingly embedded in news production, yet its implications for credibility, public trust, and professional authority remain unsettled, particularly in under-researched African media systems. This systematic review synthesizes international empirical research on GenAI and automated journalism, with specific attention to AI disclosure, human editorial oversight, audience evaluations, and journalistic autonomy, and interprets the evidence for Ghanaian digital journalism. Searches conducted through scholarly discovery services, publisher indexes, citation chaining, and African research repositories covered January 2020 to 21 July 2026. Following PRISMA 2020 and PRISMA-S principles, 60 records were identified, 43 full-text reports were assessed, and 40 studies were included in a structured narrative synthesis. Only three included studies directly involved Ghana; Ghanaian implications are therefore presented as contextual interpretations of a predominantly international evidence base rather than as Ghana-specific causal conclusions. Across the reviewed literature, journalists most often used GenAI for transcription, summarization, research support, ideation, translation, copyediting, headline development, and preliminary drafting. Audience studies did not support a universal “AI credibility penalty.” Responses varied with task type, topic sensitivity, outlet reputation, AI literacy, disclosure wording, and the visibility of human responsibility. Labels implying full automation were generally more problematic than process-based descriptions of AI assistance accompanied by explicit human verification. African studies further highlighted informal adoption, limited institutional policy, local-language constraints, training gaps, infrastructure limitations, and data-governance concerns. The review concludes that GenAI is reconfiguring rather than simply eliminating journalistic autonomy. An evidence-informed Human-Centered Disclosure and Editorial Accountability Framework is proposed for adaptation and empirical evaluation in Ghanaian digital newsrooms.

Research on the Evolution of the “Content‑Seeding‑Conversion” Closed‑Loop Model for DTC Brands in the Short‑Video and Live‑Streaming Era

Jin Meiying — 2026-09-11

The short‑video and live‑streaming ecosystem has reshaped the marketing logic of cross‑border DTC brands, and the “content‑seeding‑conversion” closed loop has become a core customer‑acquisition and monetization carrier. At present, the industry suffers severe polarization. Most cross‑border health DTC brands are confronted with high GMV growth, insufficient repurchase and brand asset accumulation, and frequent regular failures of closed‑loop operations, while leading brands can achieve coordinated growth of sales performance and brand value. Existing studies mostly focus on static efficiency optimization of closed loops, lacking systematic exploration of their dynamic evolution rules, driving mechanisms and failure mechanisms. Taking five cross‑border health DTC brands from 2021 to 2025 as samples (Hung, N. T., & Khoa, D. T. 821‑838), this paper conducts empirical research combining grounded theory and panel regression. The results show that the DTC marketing closed loop has three generational evolutionary configurations: traffic harvesting, performance‑brand balance, and asset accumulation. Three‑dimensional TOE factors coupling drives model iteration. Meanwhile, there exist two failure mechanisms: link breakage and goal mismatch. Content accumulation capability and private‑domain undertaking capability constitute the core threshold for high‑level brand upgrading. This research makes up for the shortcomings of static research and provides theoretical support and practical basis for long‑term operation of DTC brands.