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Attention in the Age of Tiktok: Examining the Cognitive Impact of Short-form Video Consumption
Get PDFWith the rapid growth of popularity among short-form video platforms such as TikTok, media consumption has shifted toward fast-paced and highly engaging formats. This trend raises questions about the potential effects of continuous exposure to brief and repetitive audiovisual stimuli on attention. Research on short-form video’s impact on attention is limited, but prior studies suggest it may influence attention in meaningful ways. This study examined the relationship between short-form video consumption and attention among TikTok users (N = 110) by using the Attention Network Task (ANT), which measures the alerting, orienting, and executive control networks of visual attention. Participants were assigned to one of two conditions: watching short-form videos on their personal TikTok accounts using their own phones for 10 minutes or assembling a jigsaw puzzle for 10 minutes. We predicted that exposure to short-form videos would be associated with lower alerting and orienting scores but higher executive control scores on the ANT, reflecting overall poorer performance on attention. Results showed no significant differences in the attention network scores between participants who watched TikTok and those who completed a puzzle. Additionally, recent TikTok screen time was not significantly associated with performance on any of the three attention networks. These findings suggest that a brief exposure to either activity did not significantly impact visual attention in this sample. Exploratory analyses revealed that younger participants, long-term users, and self-identified heavy users spent more time on TikTok
Can Whistleblowing Improve Organizational Effectiveness? Evidence From Financial Reporting Misconduct
Get PDFBackground: While whistleblowing (WB) has attracted growing research interest in recent years, several critical WB-related issues remain underexplored. Purpose: This study examines the impact of external WB allegations on a firm’s organizational capital (OC). Such allegations often indicate management’s failure to address employee concerns internally, spotlighting potential deficiencies in internal reporting systems, employee communication, training, and trust in organizational fairness. To mitigate reputational damage, restore employee trust, and prevent future incidents, we posit that WB firms respond by increasing OC investment. Research Design: We employ a difference-in-differences approach, comparing OC changes in WB-targeted firms with those in a propensity score-matched control sample. Study Sample: Our dataset includes employee WB allegations obtained from OSHA (via a Freedom of Information Act request) and a hand-collected sample from public media. Results: We find that WB firms significantly increase OC in the post-allegation period. Additionally, higher OC investment is linked to fewer future WB incidents. The decision to strengthen OC is primarily influenced by employees, long-term institutional investors, and prior OC deficiencies, rather than by WB case credibility or CEO characteristics. Conclusions: Our findings indicate the importance of aligning long-term investment strategies and employee benefits with broader corporate goals to foster a responsive and adaptive organizational culture
Evaluation of a community-based socialization program for independently living older adults
Get PDFSocial isolation among older adults is a major public health concern because of the adverse impact it has on health and well-being. Reducing social isolation can improve health and decrease the use of costly healthcare services. However, there is little consensus on the critical ingredients of programming to reduce social isolation. Bay Area Older Adults® (BAO) is a nonprofit organization whose community-based Healthy Living Program (HLP) focuses on building and nourishing older adults’ social networks through transitions such as retirement, divorce and loss of loved ones. The current study was a program evaluation of the HLP using a survey to understand the changes that the HLP had on participants’ social network over a one-year period. Participants (n = 177) included adults aged 50 and older who voluntarily joined the HLP. Participants were followed six months later for a second assessment (n = 92). Two naturalistic groups were compared: those who participated in the HLP (n = 81) and those who did not (n = 96). Results indicated that the participant and nonparticipant groups did not differ on any demographic or socialization variables. In bivariate analyses, the participant group had a significantly higher social network score at six-month follow up. Regression analyses at six- and 12-month follow up indicated that HLP participation was significantly associated with social network score when controlling for income. The results of the current study indicate the HLP has the potential to be an effective, customized, community-based intervention that could be implemented by multiple types of care providers
The ChatGPT Fact-Check: exploiting the limitations of generative AI to develop evidence-based reasoning skills in college science courses
Get PDFGenerative large language models (LLMs) like ChatGPT can quickly produce informative essays on various topics. However, the information generated cannot be fully trusted, as artificial intelligence (AI) can make factual mistakes. This poses challenges for using such tools in college classrooms. To address this, an adaptable assignment called the ChatGPT Fact-Check was developed to teach students in college science courses the benefits of using LLMs for topic exploration while emphasizing the importance of validating their claims based on evidence. The assignment requires students to use ChatGPT to generate essays, evaluate AI-generated sources, and assess the validity of AI-generated scientific claims (based on experimental evidence in primary sources). The assignment reinforces student learning around responsible AI use for exploration while maintaining evidence- based skepticism. The assignment meets objectives around efficiently leveraging beneficial features of AI, distinguishing evidence types, and evidence-based claim evaluation. Its adaptable nature allows integration across diverse courses to teach students to responsibly use AI for learning while maintaining a critical stance. NEW & NOTEWORTHY Generative large language models (LLMs) (e.g., ChatGPT) often produce erroneous information unsupported by scientific evidence. This article outlines how these limitations may be leveraged to develop critical thinking and teach students the importance of evaluating claims based on experimental evidence. Additionally, the activity highlights positive aspects of generative AI to efficiently explore new topics of interest, while maintaining skepticism
Avengers assemble! When digital piracy increases box office demand
Get PDFWe show how the content of information goods changes the substitutability or complementarity effects of copyright infringement. Leveraging the quasi-random timing of the appearance of a high-quality pirated movie after its release in-theaters, alongside an instrumental-variables approach, we find that digital piracy complements box-office revenue for “spectacle”-oriented films, where the value of the good is linked to in-theater viewing. For “story”-oriented films, where the value is inherent—unenhanced by in-theater viewing—piracy displaces sales. Our findings suggest the value of creative content is linked to its distribution context, with relevance for commercialization and value capture strategies in creative industries with experience-goods properties
Unveiling the veil: Understanding the intersection of racism and body image among Vietnamese American young adults
Get PDFAsian Americans have experienced persistent gendered racism, racial microaggressions, and orientalism. These factors have contributed to dissatisfaction with their body image and have led some individuals to turn to body modification in order to cope with psychological distress and conform to White beauty standards. However, limited research has explored how Vietnamese Americans—one of the fastest-growing Asian American populations—experience and navigate racial dynamics related to body image, particularly in relation to gender differences and the role of cultural identity. To address this knowledge gap, a qualitative study was conducted to explore the intersection of racism, internalized racism, and body image dissatisfaction, as well as the roles of gender and cultural identity in shaping body image among second-generation Vietnamese American young adults. The study recruited 17 s-generation Vietnamese American adults aged 18–25 using purposive and snowball sampling methods and conducted virtual, semi-structured individual interviews. The research identified five main themes—gendered racism, idolization of White beauty standards, internalized racism, body modification behaviors, and alternative coping mechanisms—along with corresponding subthemes. The study found that all participants encountered some form of gendered racism, and approximately two-thirds of the participants internalized orientalist portrayals of Asian Americans and had insecurities about their Asian physical traits. The findings of this study indicate the importance of understanding the relationship between internalized racism and body image ideals or dissatisfaction. The prevalence of internalized racism can have negative consequences for both the individual and society
Contraceptive use among transgender men and gender diverse individuals in the United States: Reasons for use, non-use, and methods used for pregnancy prevention
Get PDFObjectives: To describe contraceptive use for pregnancy prevention among transgender men and gender diverse (TGD) individuals assigned female or intersex at birth (AFIAB) and explore whether contraceptive use differs by testosterone use. Study design: We analyzed data from a cross-sectional, online survey of N = 1694 TGD individuals AFIAB recruited in 2019 through a community-facing website and a national community-engaged cohort study of sexual and/or gender minority (SGM) adults in the US. Descriptive and regression analyses characterized the current and ever use of contraceptive methods for pregnancy prevention, stratified by testosterone use, and described reasons for contraceptive use/non-use. Results: Most respondents (71.0%) had used contraception before with 49.4% using it for pregnancy prevention. The methods that were most frequently ever used for pregnancy prevention included: external condoms (91.8%), combined hormonal contraceptive pills (63.0%), and withdrawal (45.9%). The methods most frequently currently used for pregnancy prevention included: external condoms (35.4%), hormonal intrauterine device (IUD) (24.8%), and abstinence (19.2%). Some reported formerly (n = 55, 6.6%) or currently (n = 30, 3.6%) relying on testosterone for pregnancy prevention. Only four of the 33 reasons for contraceptive use and non-use differed by testosterone use group. The most reported reasons for never using contraception were not engaging in penis-in-vagina sex (5.7%) or no sex with individuals who produce sperm (4.8%). Conclusions: Most TGD individuals AFIAB have used contraception, and almost half for pregnancy prevention. The most used methods require minimal and/or non-invasive healthcare system interaction. Some respondents relied on testosterone as birth control, despite a lack of efficacy evidence. Implications: TGD individuals use a range of birth control methods for pregnancy prevention and clinicians should not assume preferences for certain forms of contraception based on gender identity (e.g., estrogen avoidance). Clinicians should engage in patient-centered counseling and shared decision-making to provide high-quality contraceptive care to patients of all genders
SAASC Presents Ask an Archivist with Alex Cherian of the Bay Area Television Archive
No full textSAASC Presents Ask an Archivist with Alex Cherian of the Bay Area Television Archive from October 22, 2025.https://scholarworks.sjsu.edu/saasc_events/1055/thumbnail.jp
Spartan Daily, October 28, 2025
Get PDFVolume 165, Issue 28https://scholarworks.sjsu.edu/spartan_daily_2025/1071/thumbnail.jp
Observing System Needs for Understanding Carbon–Climate Feedbacks
No full textCarbon–climate (CC) feedbacks — arising from response of land and ocean carbon sinks to elevated CO2 and climate warming — are critical yet highly uncertain drivers of Earth’s climate trajectory. Processes such as permafrost thaw, tropical forest dieback, reduced ocean uptake, and intensifying climate extremes are already weakening natural carbon sinks, with potential to amplify warming and accelerate crossing of tipping points. Detecting and quantifying these dynamics requires sustained, high-resolution, spatially-comprehensive Earth Observations. Drawing on outcomes from a 2024 community workshop, we identify three core priorities for advancing CC feedback monitoring: (1) frequent, long-term measurements of carbon fluxes and stocks at sub-continental scales; (2) improved flux detectability using greenhouse gas partial columns; and (3) targeted monitoring of poorly-observed vulnerable regions, such as the tropics, high latitudes, and the Southern Ocean. We argue that a unified, multi-platform observing system, built on lower-cost, proven technologies and orbits and focused on high-risk observation gaps, would significantly reduce uncertainties in Earth System Models, provide early warnings of feedbacks and tipping points, inform climate mitigation strategies, and enhance transparency in carbon monitoring