Organizational Social Media Research Articles

Medical Misinformation and Quality of Public Video Content on Cannabis for Chronic Pain Management: A Cross-Sectional Analysis of the YouTube Platform.

As cannabis legalization expands nationally and globally, its use for chronic pain increases, prompting people to seek information on social media platforms like YouTube. This study evaluates the accuracy and quality of information of popular YouTube videos on cannabis for chronic pain. Using search terms related to cannabis for pain, the top 66 videos by view count were selected. Each video was classified as useful, misleading, or neither. The quality and reliability of each video were assessed using the modified DISCERN, mDISCERN, score and the Global Quality Scale, GQS. The video characteristics, usefulness classification, mDISCERN scores, and GQS scores were summarized. Continuous and categorical outcomes were compared using t-test and chi-square, respectively. Of the 66 videos, 22.73% (n=15) were classified as useful, and 77.27% (n=51) were classified as neither. Of useful videos, 40.00% (n=6) were uploaded by physicians, 40.00% (n=6) were uploaded by corporations, and 6.67% (n=1) were uploaded by an independent user. Of videos classified as neither useful nor misleading, news sources uploaded 27.45% (n=14) of these videos (P=0.02). Physicians uploaded 37.50% (n = 18) of videos with a GQS score ≥3 (P=0.04), while independent users uploaded significantly more videos with a mDISCERN score <3 (22.20%, P=0.02). Useful videos had a mean GQS of 4.00 ± 0.65 compared to a mean GQS of 2.76 ± 0.86 for videos deemed neither (P<0.0001). This study suggests a moderate quality of YouTube content on cannabis use for chronic pain. Given cannabis's growing popularity and potential for misinformation on popular social media platforms, healthcare professionals and organizations should consider uploading educational videos on this topic on YouTube.

Social comparison on Instagram, and its relationship with self-esteem and body-esteem

BackgroundPrevious research has shown that online social comparison can affect perceptions of self-esteem and body image.Purpose of the studyThis study focussed on social comparison on Instagram and its relationship with levels of self-esteem and body-esteem.Materials and methodsLevels of self-esteem and body-esteem were measured using self-report questionnaires, before and after viewing Instagram images eliciting upward, downward, or no comparison.ResultsStatistical analysis showed self-esteem and body-esteem scores significantly increased after downward comparison, with no change in scores following a neutral condition. Body-esteem scores significantly decreased after upward comparison, whilst self-esteem scores did not. Support for social comparison theory is provided.ConclusionsFuture research and implications are discussed, such as educating young people about posting and viewing of overly positive images on social media. Social media organisations could provide access to resources which provide advice about mental health issues and support for individuals wanting to discuss body image issues. Future research could potentially establish if participants’ views about eating change after engaging in differing levels of social comparison on Instagram.

Abstract A158: Community-based lung cancer screening navigation for populations at high risk

Abstract Rationale: Lung cancer screening (LCS) can reduce mortality in individuals with a high-risk smoking history, but uptake has been uneven and suboptimal. In our catchment area of Washington state, urban American Indian/Alaska Natives (AI/AN) and sexual and gender minorities (SGM) have high rates of commercial tobacco use and lower uptake of LCS. Mixed-methods community-engaged formative research with both populations revealed barriers to LCS related to social determinants of health, and interest in identity-tailored approaches to LCS care. We used this to develop tailored navigation approaches to LCS. Our study objective was to pilot and evaluate patient navigation programs to facilitate LCS uptake and care completion for these community members. Methods: We conducted parallel LCS navigation pilot studies, with participants who self-identified as AI/AN or as a member of SGM communities and who were LCS screen eligible. Participants were recruited through referrals to our multi-site university-based LCS program, community-based organization partnerships, outreach, and social media. Dedicated patient navigators were trained on LCS processes, navigation, and community-specific best practices. Navigation was guided by handbooks with barrier-specific resources, standardized scripting for contact points, and community-based resources specific to the populations. Participants completed pre- and post-navigation (1-3 months after enrollment) surveys and were followed for LCS uptake, outcomes, and navigation activities through chart review. Results: Between July 1, 2023 and February 1, 2024, 40 participants were enrolled in the navigation pilot studies, 21 in the AI/AN arm and 19 in the SGM arm. The median age of participants was 65 (interquartile range (IQR): 59-69), 80% reported current smoking, and 65% reported a household income below $30,000. Most (55%) reported at least one barrier that delayed access to healthcare in the past year. After enrollment, 35% completed LCS within one month and 55% completed LCS to date. Participants who completed post-surveys (n=22, 55%) indicated that the patient navigator was helpful. Common navigation activities included scheduling assistance, understanding screening results, addressing financial issues, and smoking cessation. Overall, participants approved of navigation approaches with a median Acceptability of Intervention Measure score of 5/5 (IQR: 4.8-5) and a median Patient Satisfaction with Interpersonal Relationship with Navigator score of 44.5/45 (IQR: 39.3-45). Conclusion: These single-arm pilot trials suggest tailored navigation for LCS for AI/AN and SGM communities is a useful approach to engage patients and address barriers and appears acceptable and welcomed. However, substantial variation in LCS completion may reflect complex barriers not addressed through navigation. Community-based and tailored navigation offers a promising approach to address LCS disparities, though further bi-directional refinement of patient navigation is necessary to optimize engagement and LCS completion. Citation Format: Ursula Tsosie, Katie DeCell, Nicolas Anderson, Madison Snidarich, Brandon Omernik, Nicholas Murphy, Matthew Triplette. Community-based lung cancer screening navigation for populations at high risk [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A158.

Insights Into Perioperative Hypertension Management in Europe: Results From a Survey Endorsed by the European Association of Cardiothoracic Anaesthesiology and Intensive Care (EACTAIC)

Perioperative blood pressure control is crucial to ensure organ perfusion and avoid adverse events. However, no consensus on blood pressure targets is available. This study was designed to gain insights into current European perioperative hypertension management practices. Survey research. Online survey. The survey was administered to members of the European Association of Cardiothoracic Anaesthesiology and Intensive Care and distributed through the organization's social media. A 22-item questionnaire on the approach to perioperative hypertension control and its pharmacological management. The study included surveys completed between July 1 and October 30, 2023. In total, 339 participants completed the questionnaire; 70% were anesthesiologists, 17% were intensive care physicians, and 12% were cardiac surgeons. More than 50% of respondents declared dealing with perioperative hypertension in 20% to 50% of their surgeries, and most target the 120 to 140 mmHg systolic blood pressure (SBP) range during surgery. Respondents mostly rely on α-adrenoreceptor antagonists (29%), nitrates (23%), and calcium channel blockers (15%) to manage perioperative hypertension. Titratable control was the most appreciated attribute of intravenous antihypertensives. Antihypertensive treatment failure occurred in less than 20% of surgeries, and the highest risk of hypotensive episodes was perceived by participants to be when using nitroglycerin and nitroprusside. Perioperative SBP targets above 140 mmHg are uncommon among respondents, who predominantly target SBP values between 120 and 140 mmHg. The choice of intravenous antihypertensives is based on their manageability and user experience, and titratable control is the most appreciated characteristic.

Exploring the Deteriorating Effect of Social Media Affordances on Employees’ Altruistic Behavior: A Theoretical Lens of Social Comparison

Existing literature has widely studied the impact of individual differences on ability-based social comparison in the workplace while the role of social media as a technical factor has not been fully understood. Drawing on social comparison theory, this study explored how social media affordances influence ability-based social comparison and the downstream impact on employees’ emotions and behaviors. We adopted the method of questionnaire survey and analyzed data from 239 participants. The results indicated that social media affordances have a positive impact on ability-based social comparison and the relationship is stronger for employees with low self-esteem. Ability-based social comparison facilitates envy and schadenfreude. Employees’ envy further exerts a negative impact by reducing altruistic behavior. This study contributes to the research on human-computer interaction and social comparison in the workplace, and provides guidance on how to maximize the value of social media in organizations.

Measure of Network Effect on Social Media Platforms

Abstract Social media platform dramatically changed the world in the last 2 decades. From limited communication possibilities, the individuals found themselves in the posture of connecting with others at only few clicks distance. Those platforms rely on large networks of people and their operators benefit from their effect. The paper examines how network effects impact the financial performance of social media organizations, analyses the strength of these effects on various platforms, and suggests a methodology for calculating the money generated by each user. This comprehensive method seeks to analyze the correlation between user base expansion and income production, providing valuable insights into the strategic importance of network effects in the digital economy.

Linking information technology use with corporate entrepreneurship: The mediation role of openness to external knowledge

AbstractFirms are increasingly applying multiple information technologies (ITs) to pursue corporate entrepreneurship. However, how different ITs can be leveraged collectively to achieve corporate entrepreneurship remains largely underexplored. Drawing upon the knowledge‐based view, we develop an integrative theoretical model to delineate how three types of commonly deployed IT (i.e. organisational enterprise systems use, organisational social media use and top management team social media use) can be used collectively in the knowledge acquisition and utilisation processes to achieve corporate entrepreneurship. Specifically, we posit that organisational IT uses (i.e. organisational enterprise systems use and organisational social media use) enhance openness to external knowledge in the knowledge acquisition process, which in turn serves as the mediation mechanism to channel organisational IT uses into corporate entrepreneurship. Moreover, top management team IT use (i.e. top management team social media use) shapes the effect of openness to external knowledge on corporate entrepreneurship in the knowledge utilisation process. The empirical analysis using multi‐respondent survey data from 1252 managers in 313 firms provides strong support for the proposed model. This study contributes to the information systems research on how IT influences corporate entrepreneurship by distinguishing the roles of organisational enterprise systems use, organisational social media use and top management team social media use in enhancing corporate entrepreneurship through firms' openness to external knowledge.

Personality of organizational social media accounts and its relationship with characteristics of their photos: analyses of startups’ Instagram photos

BackgroundOrganizational accounts of social networking sites (SNSs) are similar to individual accounts in terms of their online behaviors. Thus, they can be investigated from the perspective of personality, as individual accounts have been in the literature. Focusing on startups’ Instagram accounts, this study aimed to investigate the characteristics of Big Five personality traits and the relationships between the traits and the characteristics of photos in organizational SNS accounts.MethodsThe personality traits of 108 startups’ accounts were assessed with an online artificial intelligence service, and a correspondence analysis was performed to identify the key dimensions where the account were distributed by their personality. Photo features were extracted at the content and pixel levels, and correlational analyses between personality traits and photo features were conducted. Moreover, predictive analyses were performed using random forest regression models.ResultsThe results indicated that personality of the accounts had high openness, agreeableness, and conscientiousness and moderate extraversion and neuroticism. In addition, the two dimensions of high vs. low in neuroticism and extraversion/openness vs. conscientiousness/agreeableness in the accounts’ distribution by their personality traits were identified. Conscientiousness was the trait most associated with photo features—in particular, with content category, pixel-color, and visual features, while agreeableness was the trait least associated with photo features. Neuroticism was mainly correlated with pixel-level features, openness was correlated mainly with pixel-color features, and extraversion was correlated mainly with facial features. The personality traits, except neuroticism, were predicted from the photo features.ConclusionsThis study applied the theoretical lens of personality, which has been mainly used to examine individuals’ behaviors, to investigate the SNS communication of startups. Moreover, it focused on the visual communication of organizational accounts, which has not been actively studied in the literature. This study has implications for expanding the realm of personality research to organizational SNS accounts.

Finding the Right Voice: How CEO Communication on the Russia–Ukraine War Drives Public Engagement and Digital Activism

This research examines the influence of CEO versus brand communication on public engagement and digital activism during the Russia–Ukraine war. Brand communication refers to messages sent out through an organization's social media accounts, whereas CEO communication comes from the executive's personal account. The authors depart from an analysis of 236,119 tweets investigating the effects of message sender (CEO vs. brand), message framing (self vs. other), and message appeal (informational vs. emotional) on engagement (i.e., likes, retweets, and replies). To further understand, they subsequently deploy a 2 × 2 between-subjects design (N = 608) that introduces scenarios where either a CEO or brand proposes a public policy campaign, advocating support for U.S. citizens (self framing) or Ukrainian civilians (other framing). Key findings reveal that CEO communications foster greater engagement and digital activism than brand messages. CEO communication that merges self framed with informational appeals or other framed with emotional appeals outperforms brand messages regarding public engagement. In addition, CEO campaigns centered on Ukrainian civilians amplify digital activism, mirroring findings when brands approach the war's implications for U.S. citizens. Together, these insights unveil the intricate dance of message sender, framing, and appeal during global geopolitical events, providing vital knowledge for organizations and policy makers aiming to optimize public backing in times of war.

The Affordance of Visibility in the Social Media Videos of LGBT Nonprofits in Lebanon: (In)Visibilities, Representativity and Socio-Political Engagement

LGBT nonprofit organizations in Lebanon use social media videos to foreground the rights of sexual minorities in a society that institutionalizes homophobia. Employing content and thematic analysis to study twelve of these videos within the Lebanese sociopolitical context, I examine how the organizations enact the online affordance of visibility to transgress local hegemonic discourses and claim representativity and political rights. Engaging in politics online comes with the fear of offline homophobia. Lebanese LGBT nonprofits have therefore adopted strategies to mitigate offline persecution, including the invisibility of individuals within the visibility of the collective. They have also engaged in Pan-Arab activism and relied on local Arabic terms for sexual minorities to create a more nuanced activism for the Arab region than found in transnational LGBT activism. Keywords: LGBT, Lebanon, nonprofits, social media, visibility

Why Altruistic Organ Donations Are Not Meeting Demands.

Solid-organ transplantation remains the optimal therapeutic option for end-stage organ disease. Altruistic donation represents the ultimate sign of generosity and the most important gift of life. Currently, <10% of the global needs for transplant are fulfilled. Organ shortages result from an inability to provide an adequate organ supply to match demands. The recently observed stagnation in living kidney donations in the United States is related to a drop in all types of organ donations from living related donors, which has been paralleled with a steady and continuous increase in all living unrelated donations. Some forms of living unrelated donation represent a financially driven survival system within which wealthy recipients exploit poor donors. Low rates of altruistic donation are related to cultural barriers, religious obstacles, fear, and consequent distrust in the system. The low rate indicates a state of lack of societal solidarity, a consequence of the state of subconsciousness at the individual and collective levels that humanity is living in. Human domestication, the conditioning process that humans go through since birth and the primary facilitator of this subconscious state, is guarded through familial, social, cultural, religious, political, and mass media organizations, which are all under the influence of the monetary establishment. Acquired beliefs, mainly during the domestication process, influence our perception of the environment, our values, and ultimately our way of life. Unfortunately, this conditioning process is negatively enforced, leading to a stressful state. The powerful subconscious mind places humans in a permanent survival mode, resulting in loss of intelligence, indispensable for well-being and happiness. Altruistic donation requires a close cooperation between all parties involved in the donation process and necessitates a positive reprograming of our subconscious based on sharing, generosity, satisfaction, gratitude, trust, inner peace, and ultimately happiness, well-known constituents of unconditional love, which represents the peak of consciousness.

Current knowledge of human Mpox viral infection among healthcare workers in Cameroon calls for capacity-strengthening for pandemic preparedness.

An increased incidence of human Monkeypox (Mpox) cases was recently observed worldwide, including in Cameroon. To ensure efficient preparedness and interventions in the health system, we sought to assess the knowledge of Mpox's transmission, prevention, and response among healthcare workers (HCWs) in Cameroon. A cross-sectional online survey was conducted among HCWs in Cameroon using 21-item questions adapted from the United States Centers for Disease Control and Prevention (US-CDC) standard questionnaire on Mpox. The overall knowledge of Mpox was assessed by cumulative score and categorized as excellent (≥80%, 17/21) or good (≥70%, ≥15/21) knowledge. The regression analysis was used to identify the predictors of Mpox knowledge. The survey enrolled 377 participants, but only responses from 342 participants were analyzed. Overall, 50.6% were female participants, and 59.6% aged 30 years or younger. The majority of the participants were medical doctors (50.3%); most worked in central-level hospitals (25.1%) and had 1-5 years of experience (70.7%). A total of up to 92.7% were aware of Mpox, with social media (58.7%) and radio/television (49.2%) as the main sources. The mean knowledge score was 14.0 ± 3.0 (4 to 20), with only 12.9% having excellent knowledge (≥80%) and 42.1% having good knowledge of Mpox. Younger age (26-30 years old) was associated with good knowledge, while workplace type was associated with excellent knowledge of Mpox (aOR [95% CI]: 4.01 [1.43-11.24]). Knowledge of treatment/management of Mpox was generally poor across the different professional categories. Knowledge of Mpox among HCWs is substandard across different professionals. Thus, for optimal preparedness and immediate interventions for Mpox and similar emerging pathogens, capacity-strengthening programs should be organized for HCWs while encouraging scientific literature and organizational social media websites.

Characterizing Chronic Pain and Adverse Childhood Experiences in the Lesbian, Gay, Bisexual, Transgender, or Queer Community.

Childhood adversity is associated with chronic pain in adulthood. Additionally, individuals identifying as lesbian, gay, bisexual, transgender, or queer (LGBTQ+) report a greater prevalence of chronic pain and increased adverse childhood experiences (ACEs). While the LGTBQ+ community has a disproportionately high chronic disease burden, limited research has been conducted on the associations between chronic pain conditions or intensity and childhood adversity in this population. In this cross-sectional study, participants were 18 years or older, LGBTQ+ identifying, and reported chronic pain. Surveys were electronically distributed from August to November 2022 via LGBTQ+ organization email listservs and social media platforms. The survey included demographics and validated questionnaires measuring chronic pain (The Chronic Pain Questionnaire) and childhood adversity (ACE score). In analysis, ACE scores of 4 or more were defined as high. Responses from 136 individuals (average age of 29 ± 7.4 years) were analyzed. The mean for participants' average pain rating in the last 6 months was 5.9 of 10. Participants' worst pain was rated at least a 7 of 10 for 80% of respondents. Half (47%) had high ACE scores, and high ACE scores were significantly associated with higher average pain scores (6.27 ± 1.79, mean difference = -2.22, P = .028, 95% confidence interval [CI], -1.2 to -0.0), and higher perceived current pain ratings (4.53 ± 2.16, mean difference = -2.78, P = .007, 95% CI, -1.9 to -0.3). Transgender and gender diverse (TGD) participants (n = 75) had higher ACE scores (3.91 ± 1.78) and current pain scores compared to cisgender individuals (3.9 ± 1.8 vs 3.0 ± 1.9, P = .009, 95% CI, 0.0-0.3). History of any sexual trauma was prevalent in 36.7% and was associated with chronic pain located in the pelvic region ( P = .016, effect size estimate 0.21). Specific histories of forced sexual and touch encounters were associated with a specific diagnosis of fibromyalgia ( P = .008, effect size estimate 0.31 and P = .037, effect size estimate 0.31, respectively). Childhood adversity and chronic pain's dose-dependent relationship among our LGBTQ+ sample indicates a need to explore trauma's role in perceived pain. Given sexual trauma's association with pain location and diagnosis, type of trauma may also be crucial in understanding chronic pain development. Research into the relationships between childhood adversity, sexuality, gender identity, and chronic pain could improve chronic pain prevention and management for the LGBTQ+ community.

Railroad safety: A systematic analysis of Twitter data

Railroad safety is a universal goal all over the world, which is continually facing challenges. For example, the U.S. railroad trespasser casualties excluding highway-rail incidents, but including suicide incidents, increased by 65% from 765 in 2011 to 1261 in 2020, according to the data from the Federal Railroad Administration in U.S. To improve railroad safety of the public, efforts are needed from all stakeholders that are related to railroad incidents, including the general public, government, public safety agencies, railroad companies, and first responders, etc. Social media usage of those stakeholders shed light on their perceptions, beliefs, and behaviors toward rail safety. However, few studies across the world have conducted social media analysis for railroad safety, e.g., railroad trespassing issues. To fill the knowledge gaps, in this paper, tweets related to railroad safety in the past 5 years (93,239 tweets) were collected and analyzed via user analysis, retweet analysis, BERTopic modeling techniques, sentiment analysis, emotion analysis, and hashtag and mention analysis. The user analysis showed that stakeholders related to railroad safety used Twitter in our dataset, however, there are significantly inconsistent efforts among those stakeholders in terms of using Twitter for delivering messages on railroad safety. Retweet analysis, sentiment and emotion analysis all showed that Twitter users used tweets to inform the public of railroad safety knowledge and express their concerns. The major rail safety topics (with at least 100 tweets per topic) discussed on Twitter were related to safety culture, teaching children railroad safety, removing headphones, walking illegal tracks, and emergency notification. The contributions of this paper lie into identifying benefits and potential of using social media for informing general public of railroad safety knowledge, understanding general public’s concerns, beliefs and attitudes toward railroad safety, and demonstrating the existing status of railroad related stakeholders in terms of their usage of social media for railroad safety. The identified inconsistent efforts from different stakeholders may suggest the barriers to the use of social media for railroad safety are related to government or organizational policies and social media strategies or missions. We believe that leadership support from government agencies and organizations, and the partnership between different stakeholders is the key to promoting social media for railroad safety.

Tenant participation and emerging social media practices in the social housing sector

Many housing organizations are using social media to engage with a range of stakeholders including tenants. Tenant participation is being reworked in social media spaces as different (previously more separable) audiences are brought together in a digitalized ‘context collapse’. This multi-method study examines the emerging social media practices of housing organizations in New South Wales (NSW), Australia. Datasets generated in 2015 and 2021 include two digital audits of housing providers’ social media use, and in-depth qualitative interviews and focus groups with 26 social housing representatives. Participants reported that three intersecting agendas shape their social media use: 1) tenant participation and engagement, 2) advocacy for social housing, and 3) marketing and promotion, which create challenges that housing organizations must navigate in digital spaces. As critical tenant perspectives can present a threat to organizational brand identity and reputation, organizational social media use/s can seek to weaken or hide tenant voices at a time when tenant rights are more important than ever.

From Tradition to Transformation: The Social Entrepreneurial Journey of Japanese Women

The purpose of the study is to understand how Japanese women become social entrepreneurs. The challenges in fostering women’s entrepreneurship include socio-cultural traditional views on women’s roles and expectations and insufficient support systems. Despite such challenges, the rise of Japanese women as social entrepreneurs has been observed in recent years as a unique response to natural disasters and crisis situations, such as the Tohoku earthquake in 2011 and the Kumamoto earthquake in 2016. Women felt the need to make positive changes and assist their country to build back. However, limited research exists that examines Japanese women social entrepreneurs’ development throughout their lives. Women social entrepreneurs may have gone through critically reflective moments through significant life events, which can eventually change the course of their professional paths. The methods of the study include in-depth, individual interviews with five women entrepreneurs, field observations, and a review of documents, including women’s organization websites, news articles, and social media. These findings provide both practical and scholarly insights that can be useful for the field of adult education and human resource development and women’s studies, highlighting how women maneuver challenging conditions, and how they effectively learn and transition from such challenges to become successful social entrepreneurs.

Explainable Artificial Intelligence and Natural Language Processing for Unraveling Deceptive Contents

Deceptive content recognition in social media employing artificial intelligence (AI) includes the use of sophisticated techniques and machine learning (ML) methods to recognize deceptive or wrong data shared on numerous platforms. AI methods analyse textual as well as multimedia content, investigative patterns, linguistic cues, and contextual info to flag latent cases of deception. As a result of the use of natural language processing (NLP) and computer vision (CV), these systems identify subtle nuances, misrepresentation strategies, and anomalies in user-generated content. This active technique permits social media platforms, organizations, and consumers to recognize and diminish the spread of deceptive content, donates to a more reliable online atmosphere, and aids in fighting tasks modelled by misinformation and false news. This study offers a novel sine cosine algorithm with deep learning-based deceptive content detection on social media (SCADL-DCDSM) technique. The SCADL-DCDSM technique incorporates the ensemble learning process with a hyperparameter tuning strategy for classifying the sentiments. Primarily, the SCADL-DCDSM technique pre-processes the input data to change the input data into a valuable format. Moreover, the SCADL-DCDSM algorithm follows the BERT model for the word embedding process. Moreover, the SCADL-DCDSM technique involves an ensemble of three models for sentiment classification such as long short-term memory (LSTM), extreme learning machine (ELM), and attention-based recurrent neural network (ARNN). Finally, SCA can be executed for better hyperparameter choice of the DL models. The SCADL-DCDSM system integrates the explainable artificial intelligence (XAI) system LIME has been employed for a comprehensive explainability and understanding of the black-box process, enhancing correct deceptive content recognition. The simulation result analysis of the SCADL-DCDSM algorithm has been examined on a benchmark database. The simulation outcome illustrated that the SCADL-DCDSM methodology achieves optimum solution than other approaches in terms of different measures.

Bidirectional Gated Recurrent Unit with Glove Embedding and Attention Mechanism for Movie Review Classification

During the current Internet era, enormous volume of structured and unstructured textual data is generated and exchanged online that made the text classification more crucial. With the massive amount of user-generated content on social media platforms, businesses and organizations can leverage sentiment analysis to understand customer opinions and attitudes towards the products, services, or brand. Text classification is a natural language processing task in which a machine learning model is trained to categorize the text into predefined classes or categories. Due to the advent of promising Deep Learning techniques, intelligent and accurate text classification system can be developed. In movie review classification, algorithms are used to automatically categorize movie reviews into positive, negative, or sometimes neutral sentiments based on the opinions expressed in the text. The goal is to automate the process of determining whether a review reflects a positive or negative sentiment, helping users quickly understand the overall reception of a movie. This work proposes an automated movie review classification system based on Bidirectional Gated Recurrent Unit encoder with attention module. This method encodes the words using GloVe word embedding technique. Context information is captured in an efficient manner and the encoding is more reliable. Bidirectional GRU layer captures long-term dependencies in sentences, followed by a custom Attention layer that assigns higher weights to key components. The attention mechanism allows the model to selectively focus on important parts of the input sequence, by dynamically determining attention weights based on task relevance. The model was individually trained and evaluated using popular benchmark IMDb dataset. Experimental studies have proved the better performance of proposed movie review classification system that obtained accuracy of 98%.

The value of a shared experience: Relationships between co-experience and identification with other audiences and audience engagement behaviors on social media

With the popularity of social media, media organizations and scholars have turned their attention to audience engagement. Based on an analysis of survey data from audiences who consumed Korean content in Singapore (N = 934), this study examined how co-experiences of content with other audiences, identification with an audience group, and emotional engagement were associated with proactive, active, and reactive types of audience engagement behaviors on social media. The results show that different sub-constructs of co-experience and emotional engagement were connected with distinct types of audience engagement behaviors. In addition, the findings demonstrate the importance of identification with other audiences in all types of audience engagement behaviors. This study expands the boundary of the audience engagement literature by examining different types of engagement behaviors in consuming Korean content.

Social Media Responsibility towards COVID 19 News: The Case of Qatar

Objectives: This study explored to what extent people in one nation in the Middle East, Qatar, used social media to obtain information regarding COVID-19. It also looked at how social media organizations review and attempt to verify posted information and what they do when and if they discover fake news Methods: The researchers surveyed 400 Qatari citizens to determine their perceptions of the credibility of government and private social media sites and how that differed from their perception of the credibility of traditional mass media news outlets.The research also addressed the interrelationship between browsing social media for information and disinformation about COVID-19 and a person’s feelings of threat, anxiety, and fear. Results: The study found that social media users may have difficulty telling the difference between information and disinformation. This can increasetheir fear, anxiety, and stress. This relationship appears to be clear, and cuts across all demographic lines. What is unclear is whether fear drives people to increase their social media searching for COVID-19 information, or if increased consumption increases fear? It’s quite possible that it is a circular relationship. Conclusions: The study recommended that interventions from multiple stakeholders are essential in order to rationale social media performance and harness it’s power to disseminate reliable information.