Dominant Source Of Information Research Articles

Media and the Case of State Capture in South Africa: How Independent Outlets Aided Whistleblowers in Communicating their Messages

State capture, which is when private actors influence the state through illegal and non-transparent forms, significantly impacted South Africa’s socio-political landscape during Jacob Zuma’s presidency. This transpired largely because of an unethical nexus that formed around Zuma, those in government loyal to him, and the powerful business family – the Guptas. These revelations came to the fore because of independent media, which focused on exposing the illicit relationships driving state capture. Independent media was reliant on whistleblowers to communicate a complete narrative, which resulted in a mutually beneficial collaboration between independent media and whistleblowers. A qualitative research approach employing two methods was utilised to examine this collaboration. The dominant source of information arose from semi-structured interviews conducted with whistleblowers and independent media outlet affiliates. This data was further supplemented with document analysis. This study found that independent media played a crucial role in providing support to state capture whistleblowers. Support occurred in three forms, namely: defensive; emotional; and offensive support. Defensive support entailed legal, financial and security aid. Emotional support was provided in the form of informal counselling. Offensive support entailed using media exposure to make the whistleblowers’ narratives public, as well as mediating between whistleblowers and official commissions of inquiry.

Representation of China and the Chinese in the Ethiopian Broadcast Media

The chief objective of this study was to examine the representation of China in the Ethiopian broadcast media. The study aims to address specific objectives such as unraveling the major frames used in reporting about China and the Chinese, identifying the dominant information sources used by the Ethiopian broadcast media in reporting about China, and examining the representation of negative comments about China in the Ethiopian broadcast media. Theoretically, the study employs social constructionism together with framing theory through a qualitative research design. To that end, the study selected six television channels using purposive sampling and their coverage of issues in China in relation to three events. They are: 1) U.S. House Speaker Nancy Pelosi’s visit to Taiwan; 2) the 2023 BRICS<sup>1</sup>’ summit held in South Africa; and 3) the 2023 Belt and Road Initiative summit held in Beijing. A corpus of 47 stories, regardless of their genre, was compiled and analyzed using framing theory and qualitative content analysis. The analysis revealed that China has been represented consistently through three frames. They are: 1) China is a “mighty power”; 2) China is a “fortress”; and 3) China is a “beacon of hope." These frames constitute several sub-themes within them.

Youth Engagement and Perceptions of the LGBTQ Community

This paper explores youth engagement and perceptions of the LGBTQ community. It delves into highlighting their attitudes toward LGBTQ rights and inclusion. The study has used a mixed-methods approach, where the data is collected from 30 participants aged 18-30 through online questionnaires, both quantitative and qualitative. The findings have been presented thematically. They indicate that while many young individuals support LGBTQ rights, there are gaps in awareness, especially regarding legal protections and policies. It was noted that social media is a dominant source of information for LGBTQ issues, while more structured educational resources were found to be less influential. Also the study reveals a significant level of ambivalence toward LGBTQ individuals, particularly within societal and cultural norms. Challenges faced by LGBTQ youth, including discrimination, mental health struggles, and social exclusion, were also identified.

Awareness of dementia risk factors among healthcare professionals at Hamad Medical Corporation, Qatar: a cross-sectional survey.

Dementia, a degenerative neurological disorder, is estimated to affect 82 million people worldwide by 2030 and 152 million by 2050, with a sharp increase in its incidence in the Middle East and Qatar. Lifestyle factors, such as smoking, physical inactivity, and obesity, may account for up to 40% of dementia cases. Healthcare practitioners who play an important role in health promotion must understand the modifiable risk and protective factors for dementia. This study investigated healthcare professionals' knowledge of dementia risk factors at Hamad Medical Corporation in Qatar. A sample of 737 healthcare professionals was recruited using simple random sampling from Hamad Medical Corporation. The target population included physicians, nurses, and allied healthcare workers from various departments. The participants completed an online survey between 1st January and December 31, 2023. The survey included questions on modifiable risk factors, preventive interventions, and dementia-related information sources. The study revealed that 76% of participants believed in dementia prevention and 87.4% were interested in learning about lifestyle choices and dementia risk. The majority of the participants were female and non-Qataris. Challenges to dementia risk reduction include lack of understanding, time restrictions, and motivational obstacles. Awareness of risk factors such as depression, alcohol use, and physical inactivity was identified. Digital platforms are the dominant source of information, highlighting the need for more dementia education and prevention programs. Given the gaps identified in knowledge, we recommend further training to improve the knowledge of healthcare professionals. In addition, further exploration of patients and caregiverss is warranted.

Analyzing the impact of Social Interaction on Stock Market Participation: A Qualitative Study Using NVivo

Background: Stock market participation plays a crucial role in wealth creation and economic welfare. Prior studies show social interaction factors like parental guidance, partner opinions and online networks can influence such financial decisions. However, little is known about their combined impact in developing markets. Methods: This study analyzed the influence of social interaction on stock market participation in Kathmandu Valley, Nepal. Qualitative data was collected through interviews of 10 investors and analyzed using NVivo software. Tools included word clouds, cluster analysis, sentiment analysis and thematic coding. Results: Results indicated that while parents generally lacked knowledge, some were influenced by participating relatives. Partners motivated research through information sharing and encouragement. Community reputation had a positive effect. Internet emerged as the dominant information source compared to offline relationships. Moderately positive sentiments were observed for community, partner and internet influences. Conclusion: Social interactions, particularly through the internet, collectively contributed to stock market participation. However, parental influence was less direct. Partners influenced primary market involvement through discussions. This provides novel insights into socio-cultural determinants of equity investing in an emerging South Asian context. Novelty: The study makes an original qualitative assessment of multiple social drivers on capital market engagement in Kathmandu Valley, adding new dimensions for understanding household finance decisions and developing inclusive capital markets.

MISCONCEPTION ANALYSIS OF HEAT EXPANSION AND TEMPERATURE MATERIAL IN CLASS VII JUNIOR HIGH SCHOOL STUDENTS

This study aims to describe the misconceptions of seventh grade students in science materials, especially temperature, heat, and expansion materials at SMP Negeri 28 Padang. The type of research used in this misconception research is descriptive quantitative. The sample in this study were 29 seventh grade students at SMP Negeri 28 Padang in the 2022/2023 academic year who had learned the concepts of temperature, heat, and expansion. The data collection technique used was a diagnostic test. The data analysis technique in this study consists of several steps, including classifying student answers to determine misconceptions about temperature, heat, and expansion material with a percentage of categories of understanding the concept, not understanding the concept, misconceptions, and guessing. Based on the results obtained, it can be concluded that there are several things that cause misconceptions, which include the lack of student interest in learning because it is influenced by the thought that learning science is difficult, the lack of teacher confirmation regarding concepts that students understand, the learning process that is still teacher-centered, and the absence of a fixed learning resource so that the teacher becomes the most dominant source of information for students.

Extension event attendance increases adoption of weed management practices by sports field managers

AbstractData from a national survey of 348 U.S. sports field managers were used to examine the effects of participation in Cooperative Extension events on the adoption of turfgrass weed management practices. Of the respondents, 94% had attended at least one event in the previous 3 yr. Of this 94%, 97% reported adopting at least one practice as a result of knowledge gained at an Extension turfgrass event. Half of the respondents had adopted four or more practices; a third adopted five or more practices. Nonchemical, cultural practices were the most-adopted practices (65% of respondents). Multiple regression analysis was used to examine factors explaining practice adoption and Extension event attendance. Compared to attending one event, attending three events increased total adoption by an average of one practice. Attending four or more events increased total adoption by two practices. Attending four or more events (compared to one event) increased the odds of adopting six individual practices by 3- to 6-fold, depending on the practice. This suggests that practice adoption could be enhanced by encouraging repeat attendance among past Extension event attendees. Manager experience was a statistically significant predictor of the number of Extension events attended but a poor direct predictor of practice adoption. Experience does not appear to increase adoption directly, but indirectly, via its impact on Extension event attendance. In addition to questions about weed management generally, the survey asked questions specifically about annual bluegrass management. Respondents were asked to rank seven sources of information for their helpfulness in managing annual bluegrass. There was no single dominant information source, but Extension was ranked more than any other source as the most helpful (by 22% of the respondents) and was ranked among the top three by 53%, closely behind field representative/local distributor sources at 54%.

Frequency and Adequacy of Media Information on the Sustainable Development Goals: A Ghanaian Case Study

This study examined public perception on frequency and adequacy of media information on the Sustainable Development Goals (SDGs) in Ghana, using the descriptive survey design. The study population was made up of Ghanaians who were 18 years or above. Convenient sampling method was used to select 431 Ghanaians. Data was gathered through questionnaire administration. Analytical techniques for the study included frequencies, percentages, means and standard deviations. The study found that social media was the most dominant source of information among Ghanaians, followed by television, with newspapers identified as the least dominant source of information. Generally, Ghanaians perceived the level of frequency of media information on SDG 1 (Ending poverty) as high. Again, the level of frequency of media information on SDG 2 (Ending hunger and achieving food security), SDG 3 (Healthy life) and SDG 5 (Gender equality) was moderate. However, the level of adequacy of media information on SDG 9 (Industry, and infrastructure), SDG 10 [Reduced inequality] and Goal 11 [Sustainable cities and communities] was very low. As a recommendation, Ghanaian media should pay increased attention to the use of the new media especially social media when covering and reporting issues related to the SDGs. Furthermore, media organizations in Ghana should consider the use of radio and television as critical sources of frequent and adequate information on the SDGs. Finally, media organizations should re-examine their daily and weekly programs to ensure that equal attention is given to all the 17 SDGs.

The effect of paracetamol on the parasitological diagnosis of Plasmodium falciparum malaria

Objectives: Up until the present time, malaria represents an immense public health problem worldwide with a significant morbidity and mortality rate in many developing countries including Sudan. The use of antipyretics and analgesics in the settings of malaria has been a matter of contention over a vast period of time. Now, it is widely believed among the public and some health professionals in Sudan that the antipyretic and analgesic paracetamol disturbs the accuracy of the parasitological diagnosis of malaria. This study investigates the magnitude and effects of that belief through a descriptive study and examines the actual effect of paracetamol on the parasitological diagnosis of falciparum malaria through a clinical trial. Material and Methods: This is a conjoined study that includes a prospective and descriptive study and a randomized, placebo-controlled, double-blind, and parallel-group clinical trial. The descriptive study included 846 participants from various states in Sudan. The targeted study subjects were the public and health professionals and the study was conducted utilizing an online-based questionnaire. The clinical trial included 325 patients with uncomplicated falciparum attending two primary healthcare outpatient clinics in Gezira state, Sudan. The patients were randomly allocated to receive either placebo tablets or 500 mg of oral paracetamol after the first blood smear sample was taken. The second blood smear samples were taken 2 h after taking treatment. Parasite density estimation and other parasitological data were obtained from each sample before and after treatment. Results: The majority of the public thinks that paracetamol affects the parasitological diagnosis of malaria (76.21%, n = 330/433). Personal experience and family and friends were the most dominant information sources for the public (31.20% and 28.01% respectively), while scholarly articles were the most common source of information for the health professional group (45.03%, n = 186/413). No significant differences between the parasitological findings acquired before and after taking the treatments among both the paracetamol group (P = 0.22) and the placebo group (P = 0.12). The parasite density mean for the paracetamol group differed by 16.31 P/μL after taking paracetamol, while the placebo group parasite density mean differed by 15.34 P/μL. The treatments did not inflict impacts on the advanced microscopic features of Plasmodium falciparum blood smears. Conclusion: Paracetamol does not affect the parasitological diagnosis of falciparum malaria.

TDCOSMO

Time-delay distance measurements of strongly lensed quasars have provided a powerful and independent probe of the current expansion rate of the Universe (H0). However, in light of the discrepancies between early- and late-time cosmological studies, current efforts revolve around the characterisation of systematic uncertainties in the methods. In this work we focus on the mass-sheet degeneracy (MSD), which is commonly considered a significant source of systematics in time-delay strong lensing studies, and aim to assess the constraining power provided by integral field unit (IFU) stellar kinematics. To this end, we approximated the MSD with a cored, two-parameter extension to the adopted lensing mass profiles (with core radius rc and mass-sheet parameter λint), which introduces a full degeneracy between λint and H0 from lensing data alone. In addition, we utilised spatially resolved mock IFU stellar kinematics of time-delay strong lenses, given the prospects of obtaining such high-quality data with the James Webb Space Telescope (JWST) in the near future. We constructed joint strong lensing and generalised two-integral axisymmetric Jeans models, where the time delays, mock imaging, and IFU observations are used as input to constrain the mass profile of lens galaxies at the individual galaxy level and consequently yield joint constraints on the time-delay distance (DΔt) and the angular diameter distance (Dd) to the lens. We find that mock JWST-like stellar kinematics constrain the amount of internal mass sheet that is physically associated with the lens galaxy and limit its contribution to the uncertainties of DΔt and Dd, each at the ≤4% level, without assumptions on the background cosmological model. Incorporating additional uncertainties due to external mass sheets associated with mass structures along the lens line of sight, these distance constraints would translate to a ≲4% precision measurement on H0 in flat Λ cold dark matter cosmology for a single lens. Our study shows that future IFU stellar kinematics of time-delay lenses will be key in lifting the MSD on a per lens basis, assuming reasonable and physically motivated core sizes. However, even in the limit of infinite rc, where DΔt is fully degenerate with λint and is thus not constrained, stellar kinematics of the deflector, time delays, and imaging data will provide powerful constraints on Dd, which becomes the dominant source of information in the cosmological inference.

Automated detection of fake news

During the last decade, the social media has been regarded as a rich dominant source of information and news. Its unsupervised nature leads to the emergence and spread of fake news. Fake news detection has gained a great importance posing many challenges to the research community. One of the main challenges is the detection accuracy which is highly affected by the chosen and extracted features and the used classification algorithm. In this paper, we propose a context based solution that relies on account features and random forest classifier to detect fake news. It achieves the precision of 99.8%. The system accuracy has been compared to other commonly used classifiers such as decision tree classifier, Gaussian Naïve Bayes and neural network which give precision of 98.4%, 92.6%, and 62.7% respectively. The experiments’ accuracy results show the possibility of distinguishing fake news and giving credibility scores for social media news with a relatively high performance.

Pattern of Consumption of Dietary and Herbal Supplements by Individuals with Non-Communicable Diseases During Covid-19 Pandemic in Nigeria

Cognizance of the implication of Covid-19 pandemic on health and well-being resulted in an upsurge in use of several dietary and herbal supplements (DHS) for the prevention and/or prophylaxis against the new disease. Objectives: To evaluate the pattern of DHS consumption among Nigerians with Non-Communicable Diseases (NCD) for the prevention and treatment of COVID-19. Design: Cross-sectional questionnaire survey. Setting: Adolescents, and adults residing in Nigeria. Participants: Participants with NCD (n = 165) from a larger study (n=645) were recruited from different geo-political zones and various ethnic groups. Primary and Secondary Outcomes: Prevalence and determinants of the use of different DHS for the prevention and treatment of COVID-19 in Nigeria, and sources of information for DHS use. Results: Hypertension was the most prevalent NCD (63.6%) in the study and both breast cancer and anxiety disorder were the least (0.6%). Overall, 75.2% of the respondents had less than 8 hours of sleep daily and almost all did not smoke cigarette at all. The proportion of male and female hypertensives who believed that dietary supplements are necessary during infectious disease outbreak such as Covid-19 was moderately high (55.2%), higher among asthmatics (65.0%), diabetes (68.4%), those with kidney disease (100.0%) and ulcer (83.3%). All or almost all the respondents with hypertension (96.2%), asthma (95.0%), diabetes (100.0%) and kidney disease (100.0%), consumed supplements more during Covid-19 pandemic in Nigeria. The proportion of those who consumed supplements more during the pandemic in Nigeria was higher among male (56.4%) than among the female (43.6%) hypertensives, though the difference was not statistically significant (χ²=2.93, P-value=0.09). Vitamin C was the commonest vitamin taken by respondents with ulcer (83.3%), kidney disease (83.3%), diabetes (57.9%), asthma (50.0%), hypertension (48.6%) and the two respondents with breast cancer (1, 100.0%) and anxiety disorder (1, 100.0%) respectively. Calcium and zinc were the commonest minerals taken by respondents with ulcer (50.0%, 16.7%), diabetes (10.5%, 5.3%), asthma (30.0%, 10.0%) and hypertension (13.3%, 11.4%) respectively. High proportions (83.3%, 80.0%) of those with kidney disease and with asthma consumed DHS to maintain good health. Health workers were the dominant source of information for most on the use of supplements during Covid-19 pandemic in Nigeria. Conclusions: The findings showed widespread use of DHS for the prevention and treatment of COVID-19 among persons with NCD. The use of DHS in this study was mainly guided by health workers with a marginal role of social media and Mass media. These findings call for a more robust consolidative tactic towards DHS to ensure its proper and safe use.

Time-varying characteristics of information flow networks in the Chinese market: An analysis based on sector indices

This study analyses the dynamics of the information flow between sector indices in the Chinese market. Calculations show that the effective transfer entropy matrix is time-varying and stable over most periods, and that a few critical events strongly affect the information flow dynamics. We analyse the dynamics using IS (influence strength)-analysis and find that abnormal IS values were accompanied by high market volatility and major events. In particular, we find that the dominant information source changes drastically over time in the sequence of information flow networks, suggesting that the dominant sector is volatile.

Utilization of acoustic cues to identify emotional prosody: Results in adults with normal hearing or cochlear implants

Emotional prosody is a dominant source of information about a talker’s intended emotion. Multiple acoustic cues contrast different emotions. Voice pitch is a dominant acoustic cue for prosody, but individuals with cochlear implants do not have adequate access to this cue. Previous work has suggested that older individuals with normal hearing also have limited access to dynamic voice pitch contour cues. We are developing a cue-weighting method to estimate perceptual weighting of different prosodic cues in emotion identification by listeners with cochlear implants or normal hearing. Initial analyses indicate that in adult normally hearing listeners, increasing age reduces their weighting of voice pitch cues to emotion, but not their weighting of the secondary cue of duration. The perceptual weight for voice pitch is reduced when normally hearing listeners are attending to spectrally degraded (noise band vocoded) stimuli. Consistent with the latter observation, cochlear implant patients showed reduced weighting of voice pitch cues compared to normally hearing counterparts when both are attending to original (clean) stimuli. Taken together, these results suggest that increasing age and spectral degradation both reduce listeners’ ability to utilize voice pitch cues to emotional contrasts.

Can user reviews on online shopping websites contribute to user-involved green product innovation: a case study of household refrigerators

ABSTRACT User reviews (URs) have been regarded as a novel way of promoting user-involved green product innovation (GPI) in theory. However, the actual relationships between URs and GPI are still underexamined. This study adopted the method of content analysis to exemplify the effectiveness of user reviews on online shopping websites (OSURs) in user-involved GPI. Specifically, 62,909 effective OSURs on 24 green household refrigerators and 43 conventional refrigerators were collected and analyzed. The results show that 8.41% of all the pre-processed OSURs contain green information, which cannot be a dominant information source for promoting GPI. Yet, the identified green reviews (GRs) are still valuable for developing and diffusing GPI. On the one hand, three green topics related to energy efficiency, environmental friendliness, green materials and technologies are intensively generated, massive user experiences can objectively reflect the actual environmental performance of existing products. On the other hand, GRs account for 12.62% and 6.19% of all the OSURs on green refrigerators and conventional refrigerators, respectively. Users prefer to generate positive rather than negative GRs on green refrigerators. The implementation of GPI has a positive impact on OSURs in return. Firms can actively collect and analyze OSURs of extant green products, thus promoting the green innovation of their own products. This study adds to the literature of user-involved GPI by exploring the actual relationships between OSURs and GPI. A practical analysis framework and valuable implications are also proposed to advance GPI, green growth at firm level and sustainable development at social level.

The demonstrative use of names, and the divine-name co-reference debate

For an account of the reference of divine names, I follow Bogardus and Urban (Faith and Philosophy 34(2):176–200, 2017) in advocating in favour of using Gareth Evans’s causal theory of reference, on which a name refers to the dominant source of information in the name’s “dossier”. However, I argue further that information about experiences, in which God is simply the object of acquaintance, can dominate the dossier. Thus, this demonstrative use of names offers a promising alternative avenue by which users of the divine names can refer to the same referent despite having different conceptions of God. I also respond to Burling’s (Faith and Philosophy 36(3): 343–371, 2019) worship-worthiness view.

WHISTLE server: A high-accuracy genomic coordinate-based machine learning platform for RNA modification prediction.

The primary sequences of DNA, RNA and protein have been used as the dominant information source of existing machine learning tools, especially for contexts not fully explored by wet-experimental approaches. Since molecular markers are profoundly orchestrated in the living organisms, those markers that cannot be unambiguously recovered from the primary sequence often help to predict other biological events. To the best of our knowledge, there is no current tool to build and deploy machine learning models that consider genomic evidence. We therefore developed the WHISTLE server, the first machine learning platform based on genomic coordinates. It features convenient covariate extraction and model web deployment with 46 distinct genomic features integrated along with the conventional sequence features. We showed that, when predicting m6A sites from SRAMP project, the model integrating genomic features substantially outperformed those based on only sequence features. The WHISTLE server should be a useful tool for studying biological attributes specifically associated with genomic coordinates, and is freely accessible at: www.xjtlu.edu.cn/biologicalsciences/whi2.

TINGKAT PENGETAHUAN MAHASISWA UNIVERSITAS TADULAKO TERHADAP SWAMEDIKASI PENYAKIT GASTRITIS

Self-medication is carried out as an effort for patients to maintain and pay attention to their own health. Knowledge in self-medication of gastritis is important to have. It can support the use of drugs correctly and appropriately in choosing drugs because if the drug is used incorrectly it can cause the situation to become unfavorable. The purpose of the study was to determine the level of knowledge of students, use of drugs and sources of information on gastritis drugs and the relationship between age and sex factors on the level of knowledge of Tadulako University students in self-medication of gastritis. Type of research was a descriptive cross-sectional with a population of 38,702 a sample of 404 people by purposive sampling. The independent variables in this study were sociodemographic factors, while the dependent variable was the level of students' knowledge of gastritis self-medication. The data source used is primary data by filling out a questionnaire through Google Form. The data was analyzed by univariate and bivariate analysis, namely the chi-square test. A total of 83 respondents (20.5%) had a good level of knowledge, 112 (27.7%) were classified as moderate and 209 (51.7%) were quite. The use of gastritis drugs consumed was categorized as good with an average value of 85%, the source of drug information obtained was based on personal/family experience as much as 37% and there was no relationship between the level of knowledge of self-medication for gastritis of Tadulako University students with age (value 0.116 > 0.005) and gender (value 0.452 > 0.005). The level of knowledge was classified as good, the use of drugs is categorized as good and the dominant source of information is obtained based on personal/family use and there is no significant relationship between age and gender factors on the level of knowledge.  Keywords              : Gastritis, Tadulako University Students, Use Of Drug, Self-Medication, Level Of Knowledge

Social Media, Public Health, and Community Mitigation of COVID-19: Challenges, Risks, and Benefits.

Shortly after the first case reports in 2019, COVID-19 was declared a pandemic. Early messages from trusted experts, which later proved to be inadequate or incorrect, highlight the need for continual adjustment of messages to the public as scientific knowledge evolves. During this time, social media exploded with greatly sought-after information, some of which was misinformation based on incomplete or incorrect facts or disinformation purposefully spread to advance a specific agenda. Because of the nature of social media, information, whether accurate or not at the time posted, lives on and remains accessible to the public even when its usefulness has been discredited. While the impact of mis/disinformation on COVID-19 risk-reducing behaviors is debatable, it is clear that social media has played a significant role in both extending the reach of COVID-19–related falsehoods and promoting evidence-based content. Over the last decade, social media has become a dominant source of information that consumers turn to for health information. A great deal of misinformation and disinformation has reached large numbers of social media users, which points to a need for the agencies of the US Public Health Service to create communications to convey accurate and current information and appeals that will actually be viewed. This viewpoint highlights the challenges, risks, and potential benefits that social media present in mitigating the COVID-19 pandemic.

Social media and money: How our tweets affect the financial markets

Social media, such as Twitter, has replaced traditional media as a dominant information source (Gan et al., 2020). With social media being a fast and more efficient information dissemination channel, investors can quickly access, update and exchange stock-related information before making trading decisions. In this study, I examine the mechanism by which social media sentiment affects stock prices. I first collect a sample of 2.2 million tweets and quantify each tweet using Natural Language Processing (NLP) techniques to infer whether the tweet has a positive or negative tone. Next, I employ a modified vector autoregression (VAR) model to assess the impact of tweets on stock returns at the minute frequency. I find that Twitter sentiment affects stock prices through its impact on trades. Trades have stronger price impacts with an increase in tweet volume or investor sentiment. In addition, both bullish and bearish tweets amplify the impact of trades on stock returns. Twitter sentiment causes a permanent price movement until a new equilibrium is reached, showing Twitter sentiment contains substantial information to drive stock prices. These findings suggest that trades in the stock market become more informative as tweet activity increases, as well as when tweets contain higher sentiment. To the best of my knowledge, this is the first study looking at the exact mechanism of how social media affects the stock market and investors' response behaviour.