Public Response Research Articles

Working towards a paradigm shift in mental health: stakeholder perspectives on improving healthcare access for people with serious mental illnesses and chronic physical illnesses in Jamaica

The Jamaican public health system has incorporated mental health services into community-based primary care to improve healthcare access for people with serious mental illnesses (PWSMI), especially given global concerns about the high rate of comorbidity of chronic physical illnesses (CPI) among this population. Although it has been over twenty years since this strategy was implemented, there is a dearth of research into the views and experiences of stakeholders relating to this health system response. The current study sought to explore stakeholders’ perspectives and recommendations for improving the Jamaican public health system's response to healthcare access for PWSMI & CPI. A constructivist grounded theory approach was used to collect and analyse data from fifty-seven participants across six participant groups: health policymakers, primary care physicians, psychiatrists, mental health nurses, PWSMI & CPI and, their caregivers. The findings of the study identified one overarching category, “a paradigm shift in mental health” supported by six subthemes: (1) prioritise mental health, (2) reduce stigma and discrimination, (3) fill gaps in policies and practice, (4) address workforce issues, (5) improve health infrastructure and operations, and (6) respond to social needs. Findings highlighted a need for strategies that address social determinants of health inequalities such as stigma and discrimination as well as poverty to improve healthcare access. The paradigm shift in mental health will require greater financial and human resource investment in responding to these comorbid conditions and increased involvement of PWSMI and other stakeholders in strategies aimed at improving healthcare access and outcomes.

From polarity to plurality: Perceptions of COVID-19 and policy measures in England and Scotland.

The aim of this study was to uncover perspectives on the COVID-19 pandemic and the responses implemented by the UK and Scottish Governments to help control the spread of infection. Such understanding could help to inform future responses to pandemics at individual, community and national levels. Q methodology was used to elicit perspectives from people in England and Scotland with different experiences of the pandemic including public health officials, key workers, those on furlough, those who were unvaccinated or vaccinated to different levels, those who were 'shielding' because they were at higher risk and people with different scientific expertise. Participants rank-ordered phrases about different aspects of COVID-19 according to their viewpoint. Factor analysis was then conducted in conjunction with interview material from the same respondents. A four-factor solution was statistically supported and was interpretable alongside the qualitative accounts of participants loading on these factors. These four perspectives are titled Dangerous and Unaccountable Leadership, Fear and Anger at Policy and Public responses, Governing Through a Crisis and Injustices Exposed. The four perspectives demonstrate plurality and nuance in views on COVID-19 and the associated policies and restrictions, going beyond a binary narrative that has been apparent in popular and social media. The four perspectives include some areas of common ground, as well as disagreement. We argue that understanding the detail of different perspectives might be used to build cohesion around policy initiatives in future. The development of the statement set, which is rank-ordered by participants in a Q study, and factor interpretations were informed by views of the general public. The statement set was initially developed using existing publicly available material based on members of the general public experiencing the pandemic first hand. It was then piloted with members of the public experiencing different challenges as a result of COVID-19 and the subsequent lockdown and updated based on feedback. Finally, interpretations of the identified factors were presented publicly and edited according to their feedback.

How do we understand the value of drug checking as a component of harm reduction services? A qualitative exploration of client and provider perspectives

BackgroundMortality related to opioid overdose in the U.S. has risen sharply in the past decade. In California, opioid overdose death rates more than tripled from 2018 to 2021, and deaths from synthetic opioids such as fentanyl increased more than seven times in those three years alone. Heightened attention to this crisis has attracted funding and programming opportunities for prevention and harm reduction interventions. Drug checking services offer people who use drugs the opportunity to test the chemical content of their own supply, but are not widely used in North America. We report on qualitative data from providers and clients of harm reduction and drug checking services, to explore how these services are used, experienced, and considered.MethodsWe conducted in-depth semi-structured key informant interviews across two samples of drug checking stakeholders: “clients” (individuals who use drugs and receive harm reduction services) and “providers” (subject matter experts and those providing clinical and harm reduction services to people who use drugs). Provider interviews were conducted via Zoom from June-November, 2022. Client interviews were conducted in person in San Francisco over a one-week period in November 2022. Data were analyzed following the tenets of thematic analysis.ResultsWe found that the value of drug checking includes but extends well beyond overdose prevention. Participants discussed ways that drug checking can fill a regulatory vacuum, serve as a tool of informal market regulation at the community level, and empower public health surveillance systems and clinical response. We present our findings within three key themes: (1) the role of drug checking in overdose prevention; (2) benefits to the overall agency, health, and wellbeing of people who use drugs; and (3) impacts of drug checking services at the community and systems levels.ConclusionThis study contributes to growing evidence of the effectiveness of drug checking services in mitigating risks associated with substance use, including overdose, through enabling people who use and sell drugs to test their own supply. It further contributes to discussions around the utility of drug checking and harm reduction, in order to inform legislation and funding allocation.

Divided by the jab: affective polarisation based on COVID vaccination status

ABSTRACT Group-based affective polarisation can emerge around new issues that divide citizens. The public response to vaccines against COVID-19 provided a clear example of a new basis for group divides. Despite scientific consensus regarding the dangers of SARS-CoV-2 as well as the safety and effectiveness of available vaccinations, the public response to the COVID-19 pandemic was strongly politicised during the height of the health crisis. Positive social identities and negative out-group stereotyping developed around support or opposition to the vaccines. Panel survey data from Austria shows that vaccination identities are clearly identifiable and are related to extensive trait-based stereotyping of in- and out-group members. Moreover, we show that vaccination identities are linked to political identities and orientations that pre-date the politicisation of COVID-19 vaccines. Indeed, vaccination identities are more strongly related to political orientations than the decision to get vaccinated itself. Importantly, vaccination identities help us understand downstream attitudes, preferences, and behaviours related to the pandemic, even when controlling for other important predictors such as vaccination status and partisanship for anti-vaccine parties. We discuss the implications and generalizability of our findings beyond the context of the pandemic.

How Does The Public Respond To The Impact Of Carbon Tax Implementation Planning In DKI Jakarta?

Implementing a carbon tax is a policy to overcome the impact of carbon emissions on the decline in environmental quality. Implementing carbon tax policies can have complex impacts in various fields, such as economic, environmental, social, and political. This research analyzes the public's open response to the impact of carbon tax implementation. The research uses a qualitative and S-O-R method to analyze the public's response to the carbon tax. Data collection methods are carried out through interviews, observation, and documentation. The criteria for selecting sources (informants) in this research are people in DKI Jakarta who have an NPWP (Tax ID number), owners, and users of motorized vehicles, as well as academics in the field of taxation. Data analysis was done in data reduction, display, and conclusion. The analysis results in this research show that most people respond to implementing the carbon tax by agreeing with income redistribution as a reduction in rates for other types of taxes. In the environmental aspect, there is a positive response to implementing a carbon tax in reducing the impact of carbon emissions. Various responses highlighted the principles of justice regarding social inequality between social groups and the need to evaluate policy instruments in socio-political aspects. Public approval for implementing a carbon tax considering economic changes and environmental awareness still underlines the need for a fairer socio-political approach.

A psychometric assessment of a novel scale for evaluating vaccination attitudes amidst a major public health crisis

Despite abundant scientific evidence supporting immunization benefits, vaccine hesitancy remains a significant global health concern, particularly during public health crises. Exploring public attitudes towards vaccination is crucial. This study aimed to develop and validate a tailored Public Vaccination Attitudes Scale specifically under the unique circumstances of a public health crisis. A psychometric evaluation was conducted using a cross-sectional study during the peak of a major public health crisis. The scale was developed and its psychometric properties validated using three approaches: (1) generating the item pool through literature research and focus group discussions; (2) assessing the items through expert consultation; and (3) evaluating construct validity, content validity, and internal consistency reliability through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Data from a total of 3921 respondents were randomly divided into two subsets, one for EFA (n = 1935) and the other for CFA (n = 1986). A 22-item draft scale with five factors was created after literature research and focus group discussion. The content validity of this scale ranged between 0.88 and 1.00. EFA showed a 17-item scale with four factors (Cronbach’s α > 0.7) accounting for 68.044% of the total variance. CFA showed that the values of the fit indices, including convergent validity and discriminant validity, were excellent or acceptable. The overall Cronbach’s α was 0.874, and each factor ranged from 0.726 to 0.885. This study introduces a valuable tool for assessing vaccination attitudes during public health crises, aiding researchers, policymakers, and nurses in combating vaccine hesitancy. Emphasizing the importance of fostering vaccine acceptance, it enhances disease control during emergencies, contributing to the knowledge needed for more effective public health strategies and crisis responses

120 Gene editing: From the general public perspective

Abstract The public controversy around genetically engineered (GE) products, aka genetically modified organisms (GMO), has been ongoing for almost 40 yr fueled in part by well-funded misinformation campaigns disseminated by activist organizations. Polls reveal that public perception of GE animals is generally negative, with biomedical applications being more positively perceived than agricultural applications. Opposition to GE animals is often conflated with opposition to use of animals in research in general, as well as opposition to aspects of intensive animal agriculture. In general, concerns about animal biotechnology are influenced by views around the moral status of animals, the boundary between “natural” and “unnatural,” and perceived risks and benefits of GE animals to health and the environment (personal and cultural characteristics); the purpose of the application (e.g., disease resistance > fast growth), the method(s) being used, and the motivation of the research group making the genetic modification (public or private); and the species being modified (animal characteristics). There were three factors that aggravated opposition to GE products including 1) a lengthy and expensive regulatory step uniquely associated with commercializing products developed using that breeding method, 2) competing business interests (e.g., organic, non-GMO project) that were able to monetarize fear around the method to extract value (rent seeking) and selling their value-added (more expensive) product that avoided the use of GE, and 3) there is a mandatory labeling requirement to track/differentiate products produced with (or without) that breeding method to enable value-added marketing. Even so, when GE products that people wanted were allowed to reach the market (e.g., Impossible Burger with GE heme, GloFish, AquAdvantage salmon), they met with commercial acceptance. Now it has been suggested that the public will similarly reject animal products derived from gene edited (GnEd) animals, but that idea has only recently been put to the test as such food products were not previously available. A 2022 Japanese paper noted that with regard to GnEd food (gene knock-out tomatoes and fish) there was a “gap between anticipated and actual public response”. They noted that “even though there were some petitions against the use of genome-editing made by consumer groups; they did not develop into a mass mobilization, and media coverage was mostly positive.” These GnEd food products were developed by startups from Japanese universities, required no unique regulatory step before commercialization or mandatory labeling with Japanese regulatory agencies transparently sharing a summary of the information and notification on their websites, and businesses were encouraged to share information on products to respect The right of consumers to know. Successful commercialization of GnEd animal products has so far occurred in countries (e.g., Argentina, Brazil, Japan) where regulations treat simple GnEd products with no “foreign DNA” to be “non-GMO” and analogous to conventional breeding.

Analisis Problem Tree Pada Kebijakan Pembayaran Parkir Elektronik di Kota Surabaya

Abstract. The Surabaya City Government recently implemented a new policy aimed at increasing the efficiency and transparency of parking fee collection. The new policy focuses on the use of electronic payment methods, especially QRIS, to reduce the possibility of leaks and increase parking attendants' income. By using QRIS, the government hopes to provide the public with a safe and convenient way to pay for parking, while ensuring that all parking charges are recorded accurately. To assess the effectiveness of this new policy, researchers will analyze the public's response to non-cash payments, such as QRIS, as well as the impact of this payment system on parking attendants' income. Researchers will use the Literature Review and Problem Tree Analysis method to conduct a comprehensive analysis of the benefits and potential challenges related to this new policy. Overall, the government hopes this new policy will not only improve the efficiency and transparency of parking fee collection but also increase the income of parking attendants and provide the public with a convenient and safe way to pay for parking.

Local News Reporting and Mass Attitudes on Infrastructure Investment

AbstractA growing body of research documents how shrinking local newsrooms undermine political accountability and local fiscal and policy performance in the United States. We extend this work to examine political impacts from the level of information content in local news, which has been jeopardized by reductions in newsroom staffing. To understand how information content affects public response to news coverage of a local issue, we focus on the case of preventive spending on infrastructure maintenance and repair. Inefficiently low levels of infrastructure investment are often attributed to low public knowledge about the risk of failure events. In a preregistered survey experiment, we test how the level and type of information in a news article affect support for infrastructure investment across two different types of infrastructure risk (repeated nuisance versus catastrophic failure). For both types of risk, we find that more information-rich reporting, whether investigative or event-driven, increases public support for preventive spending and imposes accountability penalties on local leaders who fail to invest in prevention.

Unusual shocks in our usual models

We propose a method to allow usual business cycle models to account for the unusual COVID episode. The pandemic and the public and private responses to it are represented by a new shock called the Covid shock, which loads onto wedges that underlie the usual shocks and comes with news about its evolution. We apply our method to a standard medium-scale model, estimating the loadings with 2020q2 data and the evolving news using professional forecasts. The Covid shock accounts for most of the early macroeconomic dynamics, was inflationary and a persistent drag on activity, and the majority of its effects were unanticipated. We also show how the Covid shock can be used to estimate DSGE models with data before, during, and after the pandemic.

Challenged thriving: a qualitative study of resilience in multiple sclerosis family carers during the COVID-19 pandemic

This study investigates the lived experiences of multiple sclerosis family carers during the COVID-19 pandemic and explores the impact of the pandemic on psychological resilience processes using a socioecological framework. Following thematic analysis of interviews, two main findings emerged: first, behavioural vigilance intended to mitigate viral spread eclipsed carers’ needs and deprived them of support resources; and, second, multiple sclerosis carers harboured resilience via practices of gratitude and leveraging interpersonal relationships. Future action is needed to develop public crisis responses that integrate multiple sclerosis carers’ needs, including improved care-continuity models, the alleviation of social isolation and advancements in multifaceted wellness preservation.

Government's public panic emergency capacity assessment and response strategies under sudden epidemics: A fuzzy Petri net-based approach

In the post-epidemic era, public panic has emerged as a highly significant secondary disaster, necessitating an urgent enhancement of emergency management capabilities by governments at all levels. In order to ensure a robust assessment of the government's ability to manage public panic, it is crucial to effectively address the influence of uncertain and ambiguous factors associated with such scenarios. This paper proposes a governmental public panic emergency management capability assessment method based on fuzzy Petri nets. By analyzing the factors influencing public panic across the four evolutionary stages, namely gestation, outbreak, diffusion, and fading, we establish a hierarchical evaluation index system for assessing emergency management capabilities. Additionally, we develop a range of multi-scenario emergency management strategies. To address the challenges posed by uncertainty, randomness, fuzziness, and insufficient statistical data within the assessment index system, we introduce fuzzy Petri nets and fuzzy reasoning rules to evaluate the emergency management capability of the assessment system and derive the optimal emergency management strategy. According to example simulations, the effectiveness and practicality of models and rules constructed using fuzzy Petri nets are demonstrated, highlighting their superiority over traditional assessment methods. This comprehensive approach equips the government with a versatile toolkit for effectively managing public panic emergencies.

Application of empathy theory in the study of the effectiveness and timeliness of information dissemination in regional public health events

IntroductionThis study examines the role of empathy theory in enhancing the effectiveness and timeliness of information dissemination during regional public health events, with a focus on the SARS and COVID-19 pandemics as case studies. Utilizing an anthropological interview method, the research delves into the public's transformation from passive recipients to active participants in information dissemination, emphasizing the impact of empathy.ObjectiveThe study aims to evaluate the application of empathy theory in the context of public health emergencies and to determine its influence on the quality of information dissemination and public engagement.MethodsThe research involved two distinct surveys, each collecting 50 questionnaires from participants in different regions, to capture a diverse range of perspectives. The surveys assessed participants' views on information dissemination, their levels of empathy, and their behaviors in receiving and sharing health-related information.ResultsThe findings indicate that empathy plays a crucial role in facilitating the active involvement of the public in information dissemination. There is a notable difference in the public's emotional response and information sharing behaviors between regions with direct experience of the health events and those less affected.ConclusionThe study concludes that empathy theory, when applied to information dissemination during public health emergencies, can significantly improve the public's engagement and the overall effectiveness of communication strategies. The results underscore the need for empathetic communication to foster a sense of solidarity and collective action in response to public health crises.

Headlining mental health in a changing climate: a systematic analysis of climate change and mental health news coverage from Canada and the United States

Abstract Climate change exerts a profound and far-reaching toll on mental health, resulting in mental illness, diminished wellbeing, and strained social relations, with the severity of these impacts anticipated to intensify under future climate change. News coverage of climate-mental health issues can shape public perceptions and responses, and therefore understanding this coverage is vital for creating and implementing strategies to lessen climate-mental health risks. We systematically examined the extent, nature, and range of news articles from Canada and the United States that covered climate-mental health impacts. Five electronic databases were searched. Articles were included if they were print or online news stories that covered climate-mental health impacts and were published in English or French by sources in Canada or the United States between 2016 and 2020. A total of 1,085 articles (642 unique stories) met the inclusion criteria and underwent data extraction and analysis using descriptive statistics and thematic analysis. Coverage of climate-mental health outcomes increased in both Canada and the United States from 2016 to 2019. There was, however, a substantial decrease in coverage by Canadian news outlets from 2019 to 2020. Further, although 468 different news outlets published at least one story on the topic, repeat coverage by any one news outlet was infrequent. Most opinion pieces presented climate-mental health impacts as legitimate or expressed support for people experiencing these issues. Roughly half of the included stories identified populations that are vulnerable to climate-mental health impacts, particularly children and young people. Additionally, approximately half of the included stories identified potential interventions or coping strategies to protect mental health, most often involving changes to individual lifestyles or behaviour. More sustained coverage that focuses on protective factors, interventions, and coping strategies is needed, as this could help foster public understanding and drive action to reduce climate-mental health risks.

Implementasi Algoritma Naive Bayes Multimonial dalam Menganalisa Sentimen Masyarakat di Twitter (Studi Kasus : Perpindahan Ibu Kota)

The move to Indonesia's capital city received different responses from the public, pros and cons. This has an influence on the development of the capital itself. The impact of the move will be felt by the community, especially the people of the Kalimantan area or private developers who want to invest. This research will discuss the classification of public opinions regarding the transfer of the capital which are categorized into 3 categories, namely neutral, negative and positive. The aim of this research is to obtain the results of sentiment analysis or public responses to the move of the nation's capital. The benefit for the government or development is as input regarding the direction of development, the economy and policies regarding the development of the nation's capital city. Data collection was obtained from Twitter using scrapping techniques. The sentiment analysis stage is carried out by preprocessing first, namely by labeling and grouping. At the analysis stage, the Multinomial Naïve Bayes algorithm was used. This method was chosen as an analysis method because this method is able to measure the frequency of occurrence of words in documents more effectively. The classification results obtained from the 1049 data used were that 25.54% stated that public sentiment was neutral, 35.08% stated that public sentiment was negative, and 39.37% stated that public sentiment was positive. The accuracy rate was also obtained at 92.67%.

Emergency Vehicle Detection and Traffic Prevention Using Open CV

The proposed project focuses on the development of an innovative system for "Emergency Vehicle Detection and Traffic Prevention using OpenCV." The project aims to enhance road safety and expedite emergency response by leveraging computer vision techniques implemented through the OpenCV framework. The primary objective is to design a robust algorithm that can accurately identify emergency vehicles in real-time based on distinct visual features such as color, shape, and motion patterns. OpenCV, a powerful open-source computer vision library, will serve as the foundation for image processing and analysis. Upon successful detection of an emergency vehicle, the system will employ dynamic traffic prevention measures. This includes the activation of intelligent traffic signal control to ensure the smooth and rapid passage of the emergency vehicle through intersections. The system may also interface with connected infrastructure, such as smart traffic lights, to optimize overall traffic flow and minimize delays. The project aims to contribute to public safety and emergency response efficiency by providing a reliable and automated solution for prioritizing emergency vehicles on the road. Through the integration of OpenCV, the system will offer a versatile and scalable approach to emergency vehicle detection and traffic prevention, making it a valuable contribution to the field of intelligent transportation systems. Index terms Emergency Vehicle Detection, Traffic Prevention, OpenCV, Computer Vision Techniques, Real-time Vehicle Identification, Intelligent Traffic Signal Control, Dynamic Traffic Management, Road Safety Enhancement, Emergency Response Efficiency, Public Safety, Automated Traffic Prioritization, Intelligent Transportation Systems, Visual Feature Analysis, Smart Traffic Lights Integration, Automated Traffic Flow Optimization

Analysis of the Quality of Subdistrict Integrated Administration Services (PATEN) at the Samarinda Ilir Sub-District Office in Samarinda City

This study was conducted with the aim of analyzing the Quality of Subdistrict Integrated Administration Service Delivery (PATEN) at the Samarinda Ilir District Office, Samarinda City, along with its supporting and inhibiting factors. Research methods with a qualitative approach, sampling as informants with purposive sampling techniques  and accidental sampling techniques. Data collection techniques, with in-depth interviews, participatory observations, and documentation studies. Data analysis techniques with Miles and Huberman's interactive model data analysis techniques. The results showed that the overall quality of patent implementation at the Samarinda Ilir District Office, Samarinda City, was good, which was proven through measuring the five dimensions of public service quality analysis, namely reliability, responsiveness, certainty, empathy, and tangibility. The supporting factors, namely very adequate office service facilities, such as the use of computer devices and printers that are adequate in number, queuing machines and special counters that ensure order in the queue during the service process, air conditioning that provides comfort, both for employees and the community served, television as a means of entertainment for the community as well as to eliminate community saturation in the service process,  as well as comfortable seating for the community during the service process, while the inhibiting factor is still not yet otpimal socialization to the community by the village and the Head of RT that several licensing services, such as Building Permits (IMB), State Land Opening Permits (IMTN), and Micro Business Permits (IUM) can be managed in the sub-district with criteria and conditions that have been determined in accordance with the provisions laws and regulations.

Understanding Mass Panic

Mass panics can arise in response to a variety of situations, such as the spread of pathogens, bank failures, or insecurities about economic supplies. Such panics can produce contagious behaviors such as fleeing social contacts, bank withdrawals, and panic buying. In such situations, the processing of external stimuli, mediated by the perceptions and biases of the individual, can reach a threshold point at which panic behaviors are triggered. Due to the human propensity to imitate the behavior of others in uncertain crisis situations, one individual’s panic behavior can spread contagiously. This paper looks at the similarities among case studies of mass panic around the world and from these cases synthesizes a conceptual model to aid our understanding. Decision-makers can use this model to strengthen national resilience against panic-generated behaviors and ensure an orderly and successful public response to future biological, financial, or economic crises.

Examining public perceptions and concerns about the impact of heatwaves on health outcomes using Twitter data

BackgroundHeat is becoming a global public health concern. This paper presents a comprehensive Twitter data analysis (2011–2023) to gain insights into public perceptions of heatwaves and their health-related concerns. MethodsA number (N = 2,070,197) of filtered tweets were included for analysis after preprocessing. Utilizing the Extractor of Demographic Characteristics (EDC) module, we extracted demographic attributes, including user type, gender, and age, highlighting the diverse voices in the Twitter conversation. Sentiment and emotional analyses were conducted utilizing BERT models. An active learning content analysis approach was employed using the GPT-3 model to identify health outcomes and concerns related to heat waves. ResultsOur results show that joy and anger were the dominant emotions, reflecting positive and negative sentiments surrounding heat waves. Public sentiment varied, revealing concern and optimism in response to changing weather patterns.In terms of health outcomes, the paper categorizes and analyzes a wide range of concerns during heat waves, from heat-related illnesses to mental health issues. These findings provide valuable insights into how different health concerns are distributed across gender, user type, and age categories. An overview of the measures people took to control these issues was also given. ConclusionsThis study illustrates the evolving dynamics of public emotional responses to heat waves, offering a holistic view of the various health-related concerns raised by the public during these extreme weather events. Such insights are essential for informing public health strategies and emergency responses to mitigate the adverse effects of heat waves and protect vulnerable populations.

Public emotion and response immediately following the death of George Floyd: A sentiment analysis of social media comments

Social media use has become a critical form of social interaction connecting people of all ages, and across geographic regions, political, and philosophical persuasions. The results of these interactions are massive amounts of data which, through exploratory methods like sentiment analysis, can provide insight into overall public emotion and response to public and key sociopolitical events. The present study explores the sentiment surrounding the Black Lives Matter Facebook page by analyzing the comments under the video of the killing of George Floyd, posted on May 25, 2020. This examination of sentiment uses assumptions of selective exposure theory. We employed a three-pronged sentiment analysis approach and topic modeling and found an overall negative polarity in public sentiment among 7,137 Facebook comments on the video of George Floyd's death. The findings reveal a divisive response to the video which captured the death of George Floyd, which more generally suggests negative emotion in response to the Black Lives Matter movement. A sentiment test also returned a noticeably high happiness score, which might imply the widely unavoidable effects of trolls in internet discourse in the current racial context.