Content Preferences Research Articles

Local Viewer Preferences for Video Reaction Content About Indonesia by Creators on YouTube

Indonesia has about 127 million active YouTube users, equivalent to 21,42% of the platform’s worldwide market share. This is certainly an ample opportunity for YouTube video creators to reach huge viewers of Indonesians. One of the content formats often used by creators to gain the attention of local audiences is the reaction content format. By reacting to viral content, it is easier to get exposure from viewers. This study aims to determine the local viewer preferences for reaction content influenced by the type of reacted content, video attributes of reaction content, self-impression of authentic videos that are given reactions, and the creator’s characteristics and behavior. To support the research findings, 109 active students of FEB UNPAD in 2022/2023 were involved as respondents. Based on the descriptive and inferential analysis results executed by the software IBM SPSS Statistics 29.0., each independent variable positively impacts the viewer's interest in watching reaction content, proved by both t and F statistic significances.

Platform Configuration and Digital Materiality: How News Publishers Innovate Their Practices Amid Entanglements with the Evolving Technological Infrastructure of Platforms

ABSTRACT Technology companies and their platforms are important digital intermediaries for news publishers. Platforms as technological infrastructures have digital materiality and how publishers organise their innovations have become entangled with the digital materiality of platforms. This six-year longitudinal study (2015–2021) examines this entanglement by analysing how and why a news publisher innovated its practices vis-à-vis the changing digital materiality of Facebook and Instagram. Employing practice theory and the platform configuration framework, this study assesses the publisher’s configuration of its editorial activities in relation to shifts in the digital materiality of Meta’s platforms and the reflexivity of newsroom staff. Using a mix of qualitative methods, this study finds that the publisher both embraced and resisted the platforms’ algorithmic changes. While it enhanced video production and distribution to align with the platforms’ preference for audio-visual content, the publisher also developed new practices to counterbalance its reliance on Facebook for news distribution and digital advertising revenue, especially after Meta’s downranking of publishers’ content on News Feeds and the introduction of restrictions for Instant Articles. This study concludes that while publishers are circumscribed by the changes in the platforms' digital materiality, they strategically innovate specific practices to both leverage platforms and reclaim or maintain independence from them.

Communicative accessibility and prospective acceptability of a digital behavioural activation intervention for people with aphasia

ABSTRACT Background Behavioural Activation (BA) is a mental health treatment that encourages a person to develop or re-engage in activities that are pleasurable and meaningful to them. It is important to consider the ways such interventions can be made accessible and acceptable to individuals with communication disabilities like aphasia after stroke. Digital technologies may provide a scalable approach to increasing dissemination of BA to this population. Aims The aim of this study was to examine the communicative accessibility and prospective acceptability of a digital BA intervention developed for this population. Methods & Procedures A qualitative research design was used, involving semi-structured interviews with 11 people with aphasia caused by stroke. Data were subject to qualitative content analysis. Outcomes & Results The results suggest that participants found the developed intervention to be both overall accessible and acceptable. Participants suggested improvements that highlighted the importance of considering how an individual’s psychosocial and cognitive experience of stroke aphasia may influence their preferences for intervention layout and content. Conclusions Results of our study reiterated the importance of a user-centred design process to ensure the accessibility and acceptability of digital interventions. This work provides the foundation for ongoing design of the intervention. The continued development may also provide a framework for future development of accessible and acceptable digital interventions not only for those living with aphasia after stroke but others living with acquired language or cognitive disabilities.

AsQM: Audio Streaming Quality Metric Based on Network Impairments and User Preferences

Audio streaming services have many users because the proliferation of cloud-based audio streaming services for different content. The complex networks that support these services do not always guarantee an acceptable quality on the end-user side. In this paper, the impact of temporal interruptions on the audio streaming reproduction and the user’s preference in relation to audio content are studied. In order to determine the key parameters in the audio streaming service, subjective tests are conducted, and their results show that a user’s quality-of-experience (QoE) is highly correlated with the following application parameters: the number of temporal interruptions or stalls, its frequency and length, and the temporal location where they occur. However, most important, the experimental results demonstrate that users’ preference for audio content plays an important role in users’ QoE. Thus, a preference factor (PF) function is defined and considered in the formulation of the proposed metric named audio streaming quality metric (AsQM). Considering that multimedia service providers are based on web servers, a framework to obtain user information is proposed. Furthermore, the results show that the AsQM implemented in the audio player of an end user’s device has a low impact on energy, processing and memory consumption.

Deep Reinforcement Learning for Energy Efficiency Maximization in Cache-Enabled Cell-Free Massive MIMO Networks: Single- and Multi-Agent Approaches

Cell-free massive multiple-input multiple-output (CF-mMIMO) is an emerging beyond fifth-generation (5 G) technology that improves energy efficiency (EE) and removes cell structure limitation by using multiple access points (APs). This study investigates the EE maximization problem. Forming proper cooperation clusters is crucial when optimizing EE, and it is often done by selecting AP–user pairs with good channel quality or aligning AP cache contents with user requests. However, the result can be suboptimal if we determine the clusters based solely on either aspect. This motivates our joint design of user association and content caching. Without knowing the user content preferences in advance, two deep reinforcement learning (DRL) approaches, i.e., single-agent reinforcement learning (SARL) and multi-agent reinforcement learning (MARL), are proposed for different scenarios. The SARL approach operates in a centralized manner which has lower computational requirements on edge devices. The MARL approach requires more computation resources at the edge devices but enables parallel computing to reduce the computation time and therefore scales better than the SARL approach. The numerical analysis shows that the proposed approaches outperformed benchmark algorithms in terms of network EE in a small network. In a large network, the MARL yielded the best EE performance and its computation time was reduced significantly by parallel computing.

Listening to the patient voice on home-based cardiac rehabilitation: a qualitative audit mapping patient-reported outcomes to current european guidelines

Abstract Funding Acknowledgements Type of funding sources: Public Institution(s). Main funding source(s): NHS Lothian. Background and Purpose Increasing evidence supports the efficacy of facilitated home-based cardiac rehabilitation as an alternative to hospital-based rehabilitation for individuals recovering from myocardial infarction and revascularisation. The objective of this audit was to explore qualitative patient-reported outcomes of a home-based cardiac rehabilitation programme in relation to current european guidelines. Methods Following their participation in the six-week cardiac rehabilitation programme, patients completed an evaluation questionnaire consisting of 1) a 25-item survey rating their satisfaction with elements of the programme and 2) five open-ended questions regarding their experiences and resulting outcomes. The anonymous patient responses were transcribed and stored securely using an electronic database. For the purpose of this audit, the qualitative data from 203 patients between April 2021 and January 2023 were analysed. The data was coded into the key risk, psychosocial and behavioural factors presented in current european guidelines, while also capturing additional themes. Once identified, inductive thematic analysis was employed to extract further meaning from featured codes. Results Deductive coding identified the following constructs from the guidelines within the data: risk factors (blood pressure, cigarette smoking, diabetes mellitus, adiposity), sex and gender and their impact on health, communication of cardiovascular disease risk, psychosocial factors, optimising lifestyle (physical activity and exercise, and nutrition and alcohol) and medication adherence. Within this, inductive themes that emerged included: successful risk modification (of factors such as diabetes and adiposity), successful behaviour modification, increased awareness, understanding and confidence, decreases in stress and anxiety, increased pacing and relaxation, preference for more content, resentment of generalised information, the impact of Covid-19 and the benefit of the programme to family members. Conclusions The results of this qualitative audit suggest that patient satisfaction was high, post-participation in the cardiac rehabilitation programme. The findings of reported successful risk and behaviour modification in relation to nutrition, exercise, smoking, alcohol intake, diabetes, adiposity and psychological factors indicate the programme’s efficacy in facilitating lifestyle changes amongst cardiac rehabilitation patients with multiple conditions. The preference for more content with regard to blood pressure and factors specific to women provides valuable insight for ongoing resource development and research.

Designing a Digital Culinary Education Intervention for Parents With Low Income

ObjectiveTo examine cooking practices, online information-seeking habits, and intervention preferences among parents with low income to inform the development of a digital cooking intervention on the basis of the Healthy Cooking Index. MethodsThis formative research study included a brief survey followed by in-depth interviews (from February to April, 2021) with parents of a child aged 6–11 years with low income (n = 20; 100% female, 70% African American or Hispanic White). Interview transcripts were analyzed using a semistructured hybrid coding approach. ResultsThree main themes were identified to inform the development of the intervention: (1) current Healthy Cooking Index behaviors, (2) preferences for digital cooking intervention content, and (3) design and delivery preferences. A 7-step process was used to develop the intervention and integrate qualitative findings. Conclusions and ImplicationsOnline culinary programs targeting parents with low income may consider short, mobile-friendly video formats and focus on easy-to-prepare recipes adaptable to family preferences.

Intelligent Caching with Graph Neural Network-Based Deep Reinforcement Learning on SDN-Based ICN

Information-centric networking (ICN) has gained significant attention due to its in-network caching and named-based routing capabilities. Caching plays a crucial role in managing the increasing network traffic and improving the content delivery efficiency. However, caching faces challenges as routers have limited cache space while the network hosts tens of thousands of items. This paper focuses on enhancing the cache performance by maximizing the cache hit ratio in the context of software-defined networking–ICN (SDN-ICN). We propose a statistical model that generates users’ content preferences, incorporating key elements observed in real-world scenarios. Furthermore, we introduce a graph neural network–double deep Q-network (GNN-DDQN) agent to make caching decisions for each node based on the user request history. Simulation results demonstrate that our caching strategy achieves a cache hit ratio 34.42% higher than the state-of-the-art policy. We also establish the robustness of our approach, consistently outperforming various benchmark strategies.

Factors Influencing Nutritional Intake and Interests in Educational Content of Athletes and Sport Professionals Toward the Development of a Clinician-Supported Mobile App to Combat Relative Energy Deficiency in Sport: Formative Research and a Description of App Functions.

Relative energy deficiency in sport (RED-S) as a consequence of athlete malnutrition remains a prominent issue. However, it remains underrecognized, in part due to the perceived outward health of athletes. The Eat2Win app was designed to combat RED-S and athlete malnutrition by providing education, behavior modification, and direct communication with expert sports dietitians to athletes and sport professionals (professionals who work with athletes, eg, sport coaches and athletic trainers). The purpose of this formative research was to gain critical insight on motivators and barriers to optimal nutritional intake from both the athletes' and sport professionals' perspectives. Additionally, since these 2 groups represent the primary end users of an app aimed at improving athlete nutrition and reducing the risk of RED-S, a secondary objective was to gain insight on the preferences and perceptions of app-based educational content and functionality. An electronic survey was developed by an interdisciplinary team of experts. Survey questions were established based upon prevailing literature, professional dietetic field experience, and app design considerations to obtain respondent knowledge on key sports nutrition topics along with motivations and barriers to meal choices. Additionally, the survey included questions about the development of an integrative, clinician-support app aimed at addressing RED-S. These questions included preferences for educational content, modes of in-app information, and communication delivery for the target population (app end users: athletes and sport professionals). The survey was distributed through Research Electronic Data Capture (REDCap) to athletes and sport professionals using targeted email, social media, and community engagement campaigns. The electronic survey was available from May 4 to August 2, 2022. Survey respondents (n=1352) included athletes and professionals who work with athletes from a variety of settings, like high school, collegiate, professional, and club sports. Respondents reported high interest in 8 core sports nutrition topics. The preferred modes of information and communication delivery were visual formats (eg, videos and infographics) and in-app alerts (eg, direct messaging and meal reminders). Only athlete respondents were asked about motivators and barriers that influence meal choices. "Health" and "sports performance" were the highest scoring motivators, while the highest scoring barriers were "cost of food," "easy access to unhealthy food," and "time to cook or prepare food." Notably, survey respondents provided positive feedback and interest using a novel function of the app: real-time meal feedback through food photography. The Eat2Win app is designed to combat RED-S and athlete malnutrition. Results from this study provide critical information on end-user opinions and preferences and will be used to further develop the Eat2Win app. Future research will aim to determine whether the Eat2Win app can prevent RED-S and the risk of athlete malnutrition to improve both health and performance.

Dominican Adolescents’ Preferences for Content, Design, and Functionality of a Mobile Application for Type 1 Diabetes Mellitus Self-management

ObjectiveThe purpose of this interdisciplinary study was to determine Dominican adolescents’ preferences for the content, functionality (i.e. food’s glycemic index list, and amount of insulin based on foods’ carbohydrate count), and design of a culturally and linguistically relevant mobile application (app) for type 1 diabetes mellitus (T1DM) self-management. The app would facilitate T1DM self-management education and support by addressing providers’ challenges in monitoring patients’ disease progression and promoting patient adherence to recommended lifestyle changes. Findings inform an app development process that considers the linguistic and cultural values, norms, and structures of people with T1DM and their providers in the Dominican Republic. MethodsPhone interviews were conducted with 23 adolescents (14 to 18 years of age), using a semistructured questionnaire. The research team conducted the data analysis using NVivo through a deductive and inductive approach. ResultsThe findings suggest that, regardless of the context, adolescents with T1DM desire similar features and functionalities in a self-management app. Overall, participants preferred an app with a graphic format that has accessible information, a straightforward design, and instructional videos. Participants also desired that an app provide information and reminders about proper eating and insulin administration timing and be a vehicle to access a social network to foster mutual support and encouragement. ConclusionsOur study highlights adolescents’ perspectives on components for inclusion in an app for T1DM self-management. Participants' recommendations for the app’s potential usability, contents, and design features will be used to guide the development of a new app to promote engagement and foster better health outcomes.

Dairy product consumption and lung cancer risk: A prospective analysis

Current evidence on prospective associations between dairy product, dairy fat and lactose intakes and lung cancer risk is limited and inconsistent. We conducted a prospective analysis of associations of lung cancer risk with dairy product intakes in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO) cohort. Pre-diagnostic dairy product intake was assessed through a validated Diet History Questionnaire. All incident lung cancer cases were pathologically verified. Multivariable Cox regression was used to calculate hazard ratios (HR) and 95% confidence intervals (CI) for associations of lung cancer risk with intakes of total, full-fat, low-fat dairy, fermented or non-fermented dairy products; milk fat content preference; and intakes of total and saturated fats and lactose from dairy products. Among 101,709 adults (mean age of 65.5 years), a total of 1583 lung cancer cases were identified during 1,167,239 person-years of follow up. Mean total dairy product intake was 156g/1000 kilocalories (kcal), including 20g/1000kcal from fermented dairy products. Total dairy intake was not associated with lung cancer risk (HR [95% CI]=1.03 [0.89-1.18]) comparing the highest quartile with the lowest. Fermented dairy intake was inversely associated with lung cancer risk (0.85 [0.72-0.99]). In contrast, there were no statistically significant associations with low-fat, full-fat or non-fermented dairy product intakes. The preference of whole milk when consuming milk as beverage was associated with a higher risk of lung cancer than the preference of <0.5% fat milk (1.24 [1.03-1.49]). Total fat, saturated fat and lactose intakes from dairy products each were not associated with lung cancer risk. Our results suggest an inverse association of lung cancer risk with fermented dairy intake and a positive association with the whole milk preference in a US population. Future studies exploring underlying molecular mechanisms are warranted.

Automated analysis of written language in the three variants of primary progressive aphasia.

Despite the important role of written language in everyday life, abnormalities in functional written communication have been sparsely investigated in primary progressive aphasia. Prior studies have analysed written language separately in each of the three variants of primary progressive aphasia-but have rarely compared them to each other or to spoken language. Manual analysis of written language can be a time-consuming process. We therefore developed a program that quantifies content units and total units in written or transcribed language samples. We analysed written and spoken descriptions of the Western Aphasia Battery picnic scene, based on a predefined content unit corpus. We calculated the ratio of content units to units as a measure of content density. Our cohort included 115 participants (20 controls for written, 20 controls for spoken, 28 participants with nonfluent variant primary progressive aphasia, 30 for logopenic variant and 17 for semantic variant). Our program identified content units with a validity of 99.7% (95%CI 99.5-99.8). All patients wrote fewer units than controls (P < 0.001). Patients with the logopenic variant (P = 0.013) and the semantic variant (0.004) wrote fewer content units than controls. The content unit-to-unit ratio was higher in the nonfluent and semantic variants than controls (P = 0.019), but no difference in the logopenic variant (P = 0.962). Participants with the logopenic (P < 0.001) and semantic (P = 0.04) variants produced fewer content units in written compared to spoken descriptions. All variants produced fewer units in written samples compared to spoken (P < 0.001). However, due to a relatively smaller decrease in written content units, we observed a larger content unit-to-unit ratio in writing over speech (P < 0.001). Written and spoken content units (r = 0.5, P = 0.009) and total units (r = 0.64, P < 0.001) were significantly correlated in patients with nonfluent variant, but this was not the case for logopenic or semantic. Considering all patients with primary progressive aphasia, fewer content units were produced in those with greater aphasia severity (Progressive Aphasia Severity Scale Sum of Boxes, r = -0.24, P = 0.04) and dementia severity (Clinical Dementia Rating scale Sum of Boxes, r = -0.34, P = 0.004). In conclusion, we observed reduced written content in patients with primary progressive aphasia compared to controls, with a preference for content over non-content units in patients with the nonfluent and semantic variants. We observed a similar 'telegraphic' style in both language modalities in patients with the nonfluent variant. Lastly, we show how our program provides a time-efficient tool, which could enable feedback and tracking of writing as an important feature of language and cognition.

A listener preference model for spatial sound reproduction, incorporating affective response.

This work presents results and models for listener preference to music delivered via different spatial reproduction formats, here via mono, stereo and multichannel (5.1-ch) reproduction. Although this problem has been researched in the past, the current work introduces an elaborate multistage experimental procedure which considers the contribution of listener-specific emotional responses (valence and arousal) to his/hers Overall Listening Experience (OLE). The test procedure registers the individual listener preference and familiarization with the content of each test audio sample. A spatial envelopment metric, extracted directly from each audio signal sample is utilized as attribute for the perceived differences between the 3 different systems. This attribute, along with listener content preference (for each music sample) and his/hers affective response attributes are combined into linear regression model(s) which can predict the dominant trends for rating OLE. A novel linear tree approach is also proposed which highlights additional associations between the attributes within this multidimensional space. Comparative performance analysis shows that the proposed linear tree approach also achieves improved predictions for OLE ratings.

Mapping movie genre evolution (1994 – 2019) using the role of cultural and temporal shifts: a thematic analysis

Background: The gratification each person seeks through a movie is different. Sometimes a person would seek information through movies or use them for educational purposes, and some might watch movies to escape into a world of fantasy or humour. Keeping in mind the diverse and ever-changing needs of the audience, the primary objective of this study is to observe the evolution of movie genre and content preference in India, which is one of the largest and culturally intriguing movies producing nation across the globe. Methods: To attain the objective, the researchers have thematically analysed the top five revenue grossing movie genres over a span of 26 years (1994 to 2019) in Bollywood. More than 100 storylines have been analysed to develop genre trend graphs and the results indicate a sharp decline in the popularity of romantic and family dramas, whereas comedy and action movies have witnessed an overall growth with romantic comedies (romcoms), being the most stable amongst the top five. Results: Several societal factors like the changing family structure, education level, access to dating applications and even terrorism have been considered to elucidate the evolving psyche of the audience. The theoretical understanding of the result is derived from the uses and gratification theory, cross culture communication theory, and Bandura’s social cognitive theory. Conclusions: This study would provide film-makers with a guide to understanding the changing movie genre preferences in India, which in turn would help them to produce economically profitable movies in future.

Children’s Pursuit of Counterintuitive Information in Books

ABSTRACT For decades, developmental psychologists and educators have emphasized that learning about counterintuitive phenomena may be a critical driving force for cognitive development. Thus far, little is known about the specific content that children seek to enrich their knowledge. Using a novel book-choice paradigm, we directly examine children’s preference to engage with media that contains more mundane vs. more counterintuitive content. Children ranging from 3- to 8-years (N = 174), from the U.S. and Canada, were presented with pairs of books about animals. The two books in each pair were visually identical aside from their printed title. One book in each pair was described as presenting a fact that (according to validation data on children’s and adults’ beliefs in these facts) was relatively intuitive, and the other book was described as presenting a fact that was relatively counterintuitive. The youngest participants (3–4 years) demonstrated no preference in selecting books with intuitive vs. counterintuitive facts about animals, whereas older children (5-years onward) demonstrated an increasing preference for counterintuitive content. Combined with validation data on children’s and adults’ intuitions about the focal facts, these data suggest that children’s preference to seek information that adults deem counterintuitive (at least in the domain of biology) increases with age as a function of changes in the strength of children’s intuitions about what is possible.

A narrative video game for adults with subjective and objective cognitive impairment. Design and preliminary results on user-interaction and efficacy

ABSTRACT The design of a narrative video game for cognitive training of memory and executive functions in older adults with subjective and objective cognitive impairment is reported along with preliminary results on preferences (Study 1), user interaction experience (Study 2), and efficacy of the game (Study 3). A study of aesthetic preferences in backgrounds and avatars was implemented in 13 older adults, who were asked for their opinion on the acceptability of the plot. After completion of the design, a user interaction study was conducted in a sample of 19 older adults. In addition, a Matched Paired Experimental Design (MPED) was implemented as a preliminary test of the efficacy of the narrative video game in a sample of 22 participants with Subjective Cognitive Decline (SCD) and Mild Cognitive Impairment (MCI). Preferences for free violence content in videogames was supported in our sample of low-frequency adult gamers and acceptability of the plot was high. The video game was rated favourably by the older adults in terms of user preferences and acceptability. The results of the preliminary MPED study suggest that the video game could be a useful tool for cognitive training in SCD and MCI older adults.

Capitalizing on social media: An evaluation of the public’s preferences for plastic surgery social media content

The effectiveness of utilizing social media platforms to promote clinical practices and attract patients has been well established. This study aimed to assess what plastic surgery social media content and educational material the public is most responsive to.An anonymous 25-question survey was distributed using REDCap and Amazon's Mechanical Turk to ascertain demographic information, patterns of social media use, levels of interest in plastic surgery, and preferences for plastic surgery content.Of 401 participants, the typical respondent was between 25 and 34 years old and on social media daily. Almost half of the respondents (46.1%) have intentionally viewed plastic surgery content on social media, of which most used Instagram (71.1%) and Facebook (55.4%). Participants grouped as either younger or older than 35 years old were equally likely to have viewed plastic surgery content (p = 0.33). Content categories with the highest interest were before and after results (mean Likert weight 4.00 ± 1.10), patient testimonials (3.73 ± 1.15), and recovery process (3.67 ± 1.14). Content on celebrities (2.89 ± 1.17), comedic videos (2.79 ± 1.19), and surgeons' private lives (2.51 ± 1.08) received negative interest. Photo posts (51.4%) were preferred more than video posts (27.2%). Before and after results on social media were the most influential factor in the selection of a plastic surgeon (45.9%).The importance of social media for plastic surgeons to be able to interact with patients is at unprecedented heights. Understanding patterns of the public's social media content preferences will help plastic surgeons optimize their social media reach and influence their target audience.

The Influence of Short Videos Pan-Entertainment Tendency on College Students Learning and Critical Thinking Abilities

In the era of big data, the rise of short videos makes content production more convenient, and content consumption becomes a new trend. In the meantime, the great enrichment of short video content also exposes the problem of "pan-entertainment". This paper focuses on college students and discusses the adverse effects caused by pan-entertainment on their learning and thinking abilities. An online questionnaire survey is used to collect data from college students. By analyzing their content preference, viewing habits, and attitudes towards short videos, it is concluded that long-term exposure to short video platforms makes students more susceptible to the adverse effects of pan-entertainment. However, short videos have a negative impact on their learning ability and critical thinking, by distracting their attention and limiting their cognition.

Exploring Social Media Preferences for Healthy Weight Management Interventions Among Adolescents of Color: Mixed Methods Study.

Social media holds promise as an intervention platform to engage youths in healthy weight management and target racial inequities in obesity. This mixed methods study aimed to examine social media habits, preferences, and obesity-related behaviors (eg, diet and physical activity) among adolescents of color and understand preferences for healthy weight management interventions delivered via social media. This mixed methods study is comprised of a cross-sectional web-based survey and a series of digital focus groups. Study participants (English-speaking youths of color ages 14-18 years) were recruited from high schools and youth-based community settings in Massachusetts and California. For surveys, participants were invited to complete an anonymous web-based survey assessing self-reported sociodemographics, social media habits and preferences, health behaviors (diet, physical activity, sleep, and screen time), and height and weight. For focus groups, participants were invited to participate in 45- to 60-minute web-based group discussions assessing social media habits, preferred social media platforms, and preferences for physical activity and nutrition intervention content and delivery. Survey data were analyzed descriptively; focus group transcripts were analyzed using a directed content analysis approach. A total of 101 adolescents completed the survey and 20 adolescents participated in a total of 3 focus groups. Participants reported most frequently using TikTok, followed by Instagram, Snapchat, and Twitter; preference for platform varied by purpose of use (eg, content consumption, connection, or communication). TikTok emerged as the platform of choice as an engaging way to learn about various topics, including desired health information on physical fitness and diet. Findings from this study suggest that social media platforms can be an engaging way to reach adolescents of color. Data will inform future social media-based interventions to engage adolescents of color in healthy weight management content.

Content recommendation with two-level TransE predictors and interaction-aware embedding enhancement: An information seeking behavior perspective

In community-based social media, users consume content from multiple communities and provide feedback. The community-related data reflect user interests, but they are poorly used as additional information to enrich user-content interaction for content recommendation in existing studies. This paper employs an information seeking behavior perspective to describe user content consumption behavior in community-based social media, therefore revealing the relations between user, community and content. Based on that, the paper proposes a Community-aware Information Seeking based Content Recommender (abbreviated as CISCRec) to use the relations for better modeling user preferences on content and increase the reasoning on the recommendation results. CISCRec includes two key components: a two-level TransE prediction framework and interaction-aware embedding enhancement. The two-level TransE prediction framework hierarchically models users’ preferences for content by considering community entities based on the TransE method. Interaction-aware embedding enhancement is designed based on the analysis of users’ continued engagement in online communities, aiming to add expressiveness to embeddings in the prediction framework. To verify the effectiveness of the model, the real-world Reddit dataset (4,868 users, 115,491 contents, 850 communities, and 602,025 interactions) is chosen for evaluation. The results show that CISCRec outperforms 8 common baselines by 9.33%, 4.71%, 42.13%, and 14.36% on average under the Precision, Recall, MRR, and NDCG respectively.