Frame Loss Research Articles

How Message-Evoked Emotions Undermine Persuasion: The Mediating Role of Fear and Anger in Health Message Effects Among Older Adults

Guided by literature on framing, this study explored how the presence of age labels in different message frames influenced message-evoked fear and anger responses, particularly for older adults with different levels of need for autonomy (NFA), which ultimately affected their physical activity intentions. The results of a three-factor between-subjects experiment, with message frame (gain versus loss) and age label (present versus absent) as manipulated variables and NFA (low versus medium versus high) as quasi-experiment variable (N = 237) revealed that loss-framed message evoked higher levels of fear and anger as compared to gain-framed message. Furthermore, the anger elicited by loss-framing was more pronounced when age labels were present, especially among older adults with low NFA. The moderated mediation analysis revealed that, among older adults with low NFA, loss-framed messages decreased physical activity intentions through message-evoked anger. Notably, this mediating effect was more pronounced when age labels were present.

Quantitative Measurements of the Effect of Framing and Social Closeness on Decision Making

According to prospect theory of framing, people's decisions are influenced by the potential outcomes themselves and how those outcomes are framed. In our study we investigated if social closeness would influence people in the same way and if it has an increased impact when used in combination with framing. We hypothesized that if the message is in gain-frame, then the potential donors, participants, will be more willing to donate, and if the potential donor and the recipient have a close relationship, then the donor will show higher willingness to donate. Furthermore, it is hypothesized that there will be an interaction effect between message framing and social closeness on willingness to donate. Participants (N = 1539) were randomly assigned to two different types of survey, one in a gain frame and other one in a loss frame. Social closeness was manipulated into two levels, close family member and close friend, and participants were again randomly assigned to two different types, with one asking to give the name of their close friend, and the other one asking to give the name of their close family member. Framing and social closeness both had effects on participants' decision making, however, unlike our hypothesis, did not have a combined effect. Our results imply that individuals may process information about framing and their social relations separately when deciding on donating. The cognitive process involved in this kind of decision making may require two separate processes for evaluating framing and social closeness, respectively.

When Gain/Loss Framing Exerts Its Effects and How: Examining the Roles of Risk Perceptions, Anticipated Regret, and Anxiety

ABSTRACTOver the past 30 years, gain/loss framing has received substantial scholarly attention from advertising researchers. Nevertheless, its effects are not yet fully understood, and further research is required to clarify mixed findings reported in previous studies. In response to this gap in the literature, this study examined the mechanisms through which risk perceptions affect gain/loss framing effects, using two experiments involving different levels of risks. Experiment 1, which involves low risk, showed that gain framing was more effective for consumers with stronger risk perceptions. However, this advantage disappeared when consumers' risk perceptions were weak. In Experiment 2, which involves high risk, loss framing was more effective for consumers with weaker risk perceptions; however, these effects disappeared when consumers' risk perceptions were very strong. The study also revealed that anticipated regret mediates the interaction effects of framing and risk perceptions on attitudes and intentions. The findings of this study suggest that risk perceptions may help explain the inconsistent results reported in previous research.

A growth posture identification method of immature peaches in natural environments

The precise bagging of immature peaches by the fruit bagging robot requires the identification of the target young fruits as well as the acquisition of their growth angles. The network models employed in single detection algorithms exhibit complexity and pose challenges for deployment on mobile terminals as they heavily rely on the availability of labeled samples. A semi-supervised learning and lightweight strategy based on YOLOv8n-seg was proposed to identify the growth posture of immature peaches in the work. Firstly, the self-training method and data enhancement in semi-supervised learning were used to generate efficient pseudo-label data. A tremendous labeling workload was solved. Secondly, the YOLOv8n-seg backbone network was replaced with an improved MobileNetv3 structure for better real-time detection on MT to reduce network parameters and calculations. The model was easily deployed with improved detection speed. Meanwhile, the original upsampling module was replaced with the CARAFE module to enhance the recognition capability of global features, which considered the impact of immature peaches on the nearby color background. The CIOU loss function was ultimately substituted with the SIOU loss function to further optimize the boundary frame loss and target detection accuracy. The enhanced model could predict the coordinate information of immature peaches and calculate growth angles. The experimental results show that the improved peach seedling growth posture network model has a weight size of only 23.1% of the original model. Additionally, the algorithm achieved a remarkable rate of 87.8% in identifying young peach fruits, with an average error of ±3.3° in estimating the growth angle. It took an average of 31 ms to detect a 3024 × 4032 pixels image in the edge computing device JETSON AGX ORIN CLB development kits. The method could rapidly identify immature peaches and estimate the growth angle, which ensured accurate bagging.

Carbon offset payment intentions in aviation industry: Altruism vs. Egoism and airline sustainability

Purpose The issue of excessive carbon emissions continues to be a critical global challenge. As a prominent mode of transportation for long-distance travel, aircraft is widely acknowledged as a significant source of these emissions. Carbon offset initiatives function as ecological measures, helping to reduce the negative environmental impact. This study aims to explore how benefit appeals (BA) within the aviation industry impact tourists’ carbon offset payment intentions (COPIt). Design/methodology/approach In Studies 1 and 2, scenario-based experiments were conducted to explore how goal framing (GF) and (BA) interact to influence COPIt. Study 2 further investigated the mediating roles of moral responsibility and trust in airlines within this interaction. Study 3 used real-world surveys to examine the moderating influence of moral elevation, thereby supporting the interactive effects and mediation mechanisms identified in the earlier studies. Findings Across three studies, the authors consistently identified pivotal factors shaping COPIt in the context of air travel. Study 1 revealed that the combination of BA and GF significantly impacts COPIt, with egoistic appeals linked to loss framing and altruistic appeals connected to gain framing being particularly effective in encouraging COPIt. Study 2 extended these insights by showing that moral responsibility and trust in airlines serve as mediators between BA, GF and COPIt. In Study 3, moral elevation was found to moderate the influence of BA and GF on both moral responsibility and COPIt, deepening the understanding of these dynamics. Originality/value This study expands the range of factors affecting COPIt and delves into the underlying mechanisms through which BA and GF shape COPIt. Additionally, it advances current understanding by revealing the intricate processes influenced by moral elevation. The findings not only contribute to the existing knowledge on COPIt determinants but also offer practical guidance for the aviation industry and related sectors in promoting tourists’ participation in carbon offset programs.

The Effects of Numerical Evidence and Message Framing in Communicating Vaccine Efficacy

To examine the effects of numerical evidence and message framing in communicating vaccine efficacy information about infectious diseases, an online experiment presented to U.S. adults different versions of a vaccination promotional message that vary by numerical vaccine efficacy evidence: (low efficacy rate: 60% vs. high efficacy rate: 95%), outcome framing (preventing disease-related infection vs. preventing disease-related severe illness), and gain vs. loss framing, using a factorial between-subjects design. While there was no significant interaction between numerical vaccine efficacy evidence and message framing, findings showed that a higher vaccine efficacy rate increased positive beliefs about vaccination and outcome framing emphasizing infection prevention increased message processing fluency. Given that infectious diseases pose higher risks for severe illness among older adults, follow-up analyses by age showed that only younger adults were sensitive to message framing where outcome framing emphasizing infection prevention increased processing fluency.

The Effect of Combinations of Task Relevance and Message Components on Construal Level and Purchase Intent: An Experimental Study on Female Students

We conducted two experiments to determine how the combination of task relevance, loss framing, and psychological distance affects changes in construal level, emotion intensity, and purchase intent. Experiment 1 investigated how construal level fit between the loss and proximal frames affected emotion intensity and purchase intention for skin beauty items among 217 female students in their 20s using the construal matching hypothesis (CMH). Experiment 2 examined how changes in construal level caused by the combination of task relevance and loss framing affect purchase intention among 41 female students in their 20s. We discovered that combining the loss and proximal frames boosted the emotional intensity of worry and raised purchase intention for low-concept marketed products. Meanwhile, the loss frame message produced a high construal level through self-affirmation in individuals with high task relevance, lowering purchase intention for advertising that emphasized tangible facts. We provide an in-depth discussion of the implications and limitations of our findings, as well as future research prospects.

Effects of Message Frames and Sources in TikTok Videos for Youth Vaping Cessation: Emotions and Perceived Message Effectiveness as Mediating Mechanisms

PurposeThe objective of this study was to evaluate the effect of message frames (gain vs. loss) and sources (formal expert: a health-care professional vs. informal expert: an individual who successfully quit vaping) on the persuasiveness of TikTok videos among youth who currently use e-cigarettes. Additionally, the study examined how emotional responses and perceived message effectiveness (PME) mediate the framing effect on youth intention to quit vaping. MethodsA 2 (gain frame vs. loss frame) × 2 (formal expert vs. informal expert) factorial design experiment was conducted with 378 youth aged 13 to 18 who currently use e-cigarettes. The study measured participant's emotional responses, PME of the messages, and intention to quit vaping after the video exposure. ResultsMessages from a formal expert resulted in stronger intention to quit vaping compared to messages from an informal expert. Gain-framed messages were associated with higher PME when delivered by an informal expert, whereas loss-framed messages showed stronger effects on PME from a formal expert. Positive emotional responses and increased PME mediated the relationship between gain-framed messages and youth intention to quit vaping. DiscussionTikTok could serve as an effective tool for formal experts to promote vaping cessation among youth who use e-cigarettes. Additionally, the findings suggest that gain frames may be more influential than loss frames in promoting vaping cessation among youth, by eliciting positive emotional responses from the audience. The differential impact of message frames depending on source type indicates a nuanced interaction between content and messenger.

Does public officials' risk preference differ in self versus public decision‐making? It depends on decision framing and bet size

AbstractPsychological distance theory and social value theory suggest there is a risk difference in self versus other decision‐making. On this basis, this study explores whether public officials' risk preferences differ in self versus public decision‐making. Inspired by prospect theory, the decision framing and bet size are further considered as the decision‐making conditions. Through a survey experiment using Chinese public officials, this study finds that, compared with decision‐making for themselves, public officials have a lower risk preference in decision‐making for the public. In addition, this risk preference difference occurs under the conditions of a gain frame and larger bet size. Conversely, under the condition of a loss frame and smaller bet size, the risk preference difference disappears. This study reveals public officials' risk pattern in self versus public decision‐making, which has significant implications for managing risk in public decision‐making and guiding those officials to make better decisions for the public.

Effectiveness of Message Framing Interventions on Improving Health Outcomes for Individuals in Diabetes Health Education Communication: A Systematic Review

ABSTRACTObjectivesTo identify the effects of message‐framing interventions on improving health outcomes of individuals in diabetes health education communication.MethodsFour electronic databases including Web of Science, PubMed, EMBASE, and the Cochrane Library were the search engines used. The period of literature search was from their inception until December 2023. Randomized controlled trials (RCTs) and quasi‐experimental trials reporting the effects of message‐framing interventions for diabetes were included.ResultsThe review included 10 studies. Many studies have investigated multiple health outcomes. Of the seven studies that evaluated behavioral health‐related outcomes, all studies (7/7, 100%) found a positive effect, and four studies (4/7, 57.1%) found that there was no significant difference between gain and loss framing. Of the seven studies that assessed nonbehavioral health‐related outcomes, six studies (6/7, 85.7%) reported a positive postintervention effect, whereas four studies (4/7, 57.1%) found that loss‐framed messages were more effective. One study (1/7, 14.3%) reported that there was no effect of the message framing on mental health‐related outcomes.ConclusionsIn diabetes health education communication, message framing of gain and loss framing has a positive effect on health outcomes for individuals. The advantage of the loss framing is more significant in improving nonbehavioral health‐related outcomes.Practice ImplicationsWhen constructing a message to promote health outcomes for patients with diabetes, the message framing is worth applying, and the advantages of loss framing can be considered more.Trial RegistrationPROSPERO registration ID: CRD42023445074. https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=445074

Enhancing Multi-Object Detection in Ultrasound Images Through Semi-Supervised Learning, Focal Loss and Relation of Frame

ObjectiveTo identify musculoskeletal anatomical structures in real time by using deep learning techniques. MethodsAn automated annotation system based on deep learning neural networks was designed to aid in the real-time identification of anatomical structures. Additionally, novel algorithms aimed at diminishing model training duration while enhancing accuracy were introduced. In this study, we proposed a semi-supervised learning (SSL) approach that substantially reduced annotation time. We also adopted the focal loss (FL) method to enhance the accuracy of challenging structures. Additionally, during the inference stage, we harnessed the temporal continuity of video frames, which involved leveraging information from preceding frames to facilitate recognition of structures in the current image. Training the model through a combination of SSL and FL yielded superior performance compared with supervised learning, while also substantially mitigating any expense linked to annotations. During inference, the incorporation of frame continuity helped to avoid discontinuity and bolster accuracy. ResultsForearm tissue detection was demonstrated by properly configuring the SSL approach, including FL and the filtering threshold. Comparable performance with supervised learning was achieved while only using 30% of the training data. The real-time experimental results also demonstrated that implementing relation of frame reduced the number of missing frames during inference and successfully increased the confidence scores of detected objects. ConclusionThis proposed system has the potential to aid medical professionals in efficiently and effectively diagnosing musculoskeletal disorders, ultimately leading to enhanced patient outcomes.

Design of ant colony planning algorithms for multi-stage grids of distribution networks considering network resilience

Network Destruction Resilience is the ability of a system to maintain good operation in the event of an external attack or internal failure. The resilience of distribution network is crucial to guarantee the reliability of power supply. In this paper, we design a planning algorithm considering network destructibility for the multi-stage ant colony planning problem of distribution networks. The method establishes the multi-stage network planning objective function of distribution network from the perspectives of total investment cost and annual operation cost of multi-node network frame, destruction resistance, active power and reactive network loss of distribution network, etc. Then based on the constraints of the model, the improved ant colony algorithm is used to solve the multi-stage network planning objective function of distribution network, and the results of the anti-termite colony planning of multi-stage network frame of distribution network are obtained. In order to verify the effectiveness of the algorithm, simulation experiments are carried out on real distribution network data. The results show that the proposed ant colony planning algorithm for multi-stage grid frames can effectively improve the destruction resistance of distribution networks, and reduce the total investment cost and annual operation cost of multi-stage grid frames, and reduce the network loss rate data of multi-stage grid frames of distribution networks after application. It provides an effective method for planning the distribution network.

When and why do cuteness cues intensify the power of message framing in promoting pro-environmental behaviors?

Gain and loss message framing has been utilized to encourage consumers’ pro-environmental behaviors in the hospitality and tourism industries. However, little is known about when and why presenting different types of cuteness cues influences the relative effectiveness of gain-framed and loss-framed messages, despite the commonness of cuteness cues in the service environment. To address this gap, this research examines the interaction effects between message framing (gain vs. loss) and cuteness type (kindchenschema vs. whimsical) on consumers’ pro-environmental responses. Through three cross-cultural studies using the experimental design approach, our results show that when kindchenschema cuteness cues are present, loss-framed (vs. gain-framed) messages generate more favorable pro-environmental responses. In contrast, gain-framed (vs. loss-framed) messages are more effective when whimsical cuteness cues are present. Moreover, results from the mediation analyses revealed that the sense of feeling right is the underlying mechanism explaining these effects. These findings provide critical implications for theory and practice.

The level of expression of HPV16 early transcripts is not associated with the natural history of cervical lesions.

The natural history of cervical cancer is closely linked to that of high-risk human papillomaviruses (HPV) infection. It is recognized that upon HPV DNA integration, partial or complete loss of the E2 open reading frame precludes expression of the corresponding protein, resulting in upregulation of the E6 and E7 viral oncoproteins. To better characterize HPV16 infection at the cervical level, viral load, viral DNA integration, and viral early transcript expression (E2, E5, and E6) were analyzed in a series of 158 cervical specimens representative of the full spectrum of cervical disease. Overall, the frequency of early transcript detection varied from 45% to 90% and tended to increase with lesion severity. In addition, the levels of E2, E5, and E6 transcript expression were slightly higher in high-grade lesions than in cervical specimens without abnormalities. Notably, early transcript expression was clearly associated with viral load, and no inverse correlation was found between the expression of E2 and E6 transcripts. No clear association was found between early transcript expression and HPV16 DNA integration, with the exception that samples with a fully integrated HPV16 genome did not harbor E2 or E5 transcripts. In conclusion, early HPV16 transcript expression appears to be associated with viral load rather than lesion grade. From a practical point of view, quantification of HPV16 early transcripts is difficult to translate into a relevant biomarker for cervical cancer screening.

Constructing vaccination slogans in the late stage of vaccine launch: an experimental study based on the framing effect theory.

Vaccination is an important strategy for overcoming public health crises. Considerable studies have analyzed strategies to promote people's willingness to vaccinate, but few have explored effective strategies based on the stage of vaccine launch. This study considered the framing effect theory to explore whether egoism, altruism and loss frames can boost vaccination willingness when people feel the vaccine is effective in the late stage of vaccine launch. This study designed a scenario experiment consisting of three experimental groups (egoism, altruism and loss frames) and one control group (non-framed). Participants (N=1085) from China were randomly assigned to any of the four groups. Vaccination willingness, perceived vaccine effectiveness and control variables included perceived susceptibility, perceived severity, worry about the side effects of vaccination and socio-demographics were collected. Perceived vaccine effectiveness and message frames can increase people's willingness to be vaccinated. Message frames can amplify the positive impact of perceived effectiveness on vaccination willingness. Moreover, loss-framed messages had a stronger amplification effect than egoistic- and altruistic-framed messages. Governments and other health authorities should prioritize the loss-framed approach when constructing vaccination slogans to maximize vaccination willingness when vaccines are considered effective at the late implementation stage of the vaccine strategy.

Quitting on TikTok: Effects of Message Themes, Frames, and Sources on Engagement with Vaping Cessation Videos

This study examined how message themes, frames, and sources in vaping cessation videos on TikTok influenced positive (i.e. likes, shares, positive comments regarding quitting vaping) and negative video engagement (i.e. negative comments regarding quitting vaping). TikTok videos (N = 412) with the hashtags #quitvaping and #quittingvaping were analyzed. Aspect-based sentiment analysis was conducted to evaluate the sentiment of quitting vaping in comments. Negative binomial regression models predicted video engagement from six message themes, ratios of gain and loss frames, and message sources. Themes related to nicotine addiction and physical health effectively drove positive engagement, such as likes and shares. The theme of harmful chemicals elicited mixed responses, generating both positive and negative comments regarding quitting vaping. Videos with a higher ratio of gain frames led to more positive engagement, including likes, shares, and positive comments regarding quitting vaping. Sources with informal expertise (e.g. those who have successfully quit vaping) and current e-cigarette users were more effective in engaging the TikTok audience than non-expert and non-user sources. These findings provide insights into messaging strategies that can effectively engage TikTok audiences and encourage vaping cessation.

Saving the world voluntarily: Experimental evidence of gain-loss framing on voluntary pro-environmental behavior

Empirical research shows that loss framing appears to be a promising tool to promote pro-environmental behavior. However, only a limited amount of experimental research has examined the effect of loss framing on actual behavior. Here, we use a variation of the Work for Environmental Protection Task (Lange & Dewitte, 2022) to study voluntary pro-environmental behavior. In an online experiment (N = 897), we find a trend of higher working efforts in the LOSS frame. However, this effect is small and marginally statistically significant. Interestingly, as explorative analyses suggest, the effect of loss framing is consistent for people with low and high intrinsic values to protect the environment.

“Here’s what you can do to stop the spread”: Frames and mobilizing information in CDC’s social media messages during the COVID-19 pandemic

ABSTRACT Although there is a body of research on message frames and mobilizing information (MI), not enough attention has been paid to whether public health organizations are benefiting from the research in their social media messages during a public health crisis. To fill this research gap, this study aimed to examine how the CDC in the U.S. used gain and loss frames and MI in their Instagram posts about COVID-19 prevention and whether the use of such message strategies changed throughout the pandemic. A mixed-methods content analysis of a sample of 565 posts showed that the CDC overwhelmingly relied on gain frame, interactive MI, and tactical MI as their message strategies. The use of frames and MI was mostly consistent throughout the pandemic, although the target behavior changed. The supplemental analysis also revealed that loss-framed or gain- and loss-framed messages led to more user engagement. The findings highlighted the need for an evidence-based approach in social media messages by public health organizations. Theoretical and practical implications are discussed.

Influence of network latency and bandwidth on robot-assisted laparoscopic telesurgery: A pre-clinical experiment.

Telesurgery has the potential to overcome spatial limitations for surgeons, which depends on surgical robot and the quality of network communication. However, the influence of network latency and bandwidth on telesurgery is not well understood. A telesurgery system capable of dynamically adjusting image compression ratios in response to bandwidth changes was established between Beijing and Sanya (Hainan province), covering a distance of 3000km. In total, 108 animal operations, including 12 surgical procedures, were performed. Total latency ranging from 170ms to 320ms and bandwidth from 15-20Mbps to less than 1 Mbps were explored using designed surgical tasks and hemostasis models for renal vein and internal iliac artery rupture bleeding. Network latency, jitter, frame loss, and bit rate code were systemically measured during these operations. National Aeronautics and Space Administration Task Load Index (NASA-TLX) and a self-designed scale measured the workload and subjective perception of surgeons. All 108 animal telesurgeries, conducted from January 2023 to June 2023, were performed effectively over a total duration of 3866min. The operations were completed with latency up to 320ms and bandwidths as low as 1-5Mbps. Hemostasis for vein and artery rupture bleeding models was effectively achieved under these low bandwidth conditions. The NASA-TLX results indicated that latency significantly impacted surgical performance more than bandwidth and image clarity reductions. This telesurgery system demonstrated safety and reliability. A total of 320ms latency is acceptable for telesurgery operations. Reducing image clarity can effectively mitigate the potential latency increase caused by decreased bandwidth, offering a new method to reduce the impact of latency on telesurgery.

Use of Financial Incentives to Promote Adolescent Type 1 Diabetes Self-management: A Pilot Randomized Controlled Trial.

To evaluate whether financial incentives lead to improvement in self-management behaviors and glycemia in adolescents with type 1 diabetes (T1D). Adolescents (12- to 18-year-olds) with T1D selected incentivized self-management behavior and clinical outcome goals in a 3-treatment (gain frame, loss frame, no incentives) crossover randomized controlled trial. Participants could earn up to $180 in each 12-week incentive treatment arm. Compared with a mean 41% behavioral goal attainment within the nonfinancial incentives arm, mean behavioral goal attainment under gain and loss frames was 50% (P < 0.01) and 45% (P < 0.01), respectively. Mean time in range (TIR) in gain frame and loss frame arms was higher 43% (P < 0.01) and 42% (P < 0.01), respectively, compared with when not receiving financial incentives (38%). There was no difference in A1C among the three arms. Financial incentives can improve diabetes self-management behaviors and TIR in adolescents with T1D in the short-term.