Manual Content Analysis Research Articles

Visual Gender Stereotypes (Advertisement, Social Media)

Visual Gender Stereotypes (Advertisement, Social Media)

Psychosocial Well-Being of People Living with HIV/AIDS in Chitwan District, Nepal: a Mixed Method Study.

Along with many physical issues associated with the HIV/AIDS there are socio-psychological ill-effects including depression, anxiety and stress. The antiretroviral therapy has been successful in prolonging the life but not much information is available on the psychosocial issues and social support from Nepal. Sequential explanatory mixed method study design was followed. All the patients undergoing antiretroviral therapy in Bharatpur Hospital above 18 years of age and giving consent to participate were conveniently selected. Validated Nepalese version of Becks Depression Inventory and Becks Anxiety Inventory tool while translated and validated Multidimensional Scale of Perceived Social Support scale was used Purposive In-depth Interview was conducted with open ended questionnaire to obtain qualitative data. Chi-square and logistic regression were used for quantitative analysis while manual content analysis was used to analyze the qualitative data. The totals of 288 participants were included in the study About 43% had some level of depression, 98% had very low level of anxiety and almost half of the people had high support. In binary logistic regression model, the significant variables were sex, marital status and occupation. Females had 2.622 times more odds of depression than males, the risk of having depression in occupation group- agriculture and household was 3.661 and 2.508 time more as compared to jobholder respectively. Similarly, single individuals had 2.815 higher odds of depression than couples. Emotional disturbances and fear of vulnerability, stigmatization, dealing with difficulties were the major problems in these groups with good familial and organization support. Clinicians, health and AIDS professionals should routinely screen for depression among other interventions to promote psychological health in HIV/AIDS-positive individuals.

IFRS meets the realities of a post-communist Balkan State

Research Question: How will the Substance-over-Form (SoF) ‘organism’ survive, mutate and develop in a new and unfamiliar ‘environment’? Motivation: Our study is motivated and inspired from a previous study published by Alexander et al. (2018) on “philosophy of language and accounting”. Alexander et al. (2018) used the “Substance-over-Form” principle as a case study investigation of the practicability, or non-practicability, of harmonising changes in accounting regulation across seven countries (and six languages). The objective of this paper is to investigate on a very different context: Albania (an EU candidate country, an ex-communist “Balkan state”, a different socially-constructed reality). Idea: This analysis shows the evolution of the SoF concept, by emphasizing the importance of the translation of official documents from English to Albanian and vice versa, comparing the content, the quality, and the level of translation in accounting. Data: We first analysed the main Albanian legislations on accounting from 1990 (opening year of the country to the free market economy) until 2021. Then, in order to assess the quality of translation from English to Albanian, we also critically examined the content and the level of translation of the 2018 IASB Conceptual Framework for Financial Reporting. Tools: The paper follows a deductive approach, as the results come from contextual data or clauses. A manual content analysis is implemented. Subsequently, a critical semantic analysis and an in-depth investigation on the level of translation of the accounting concepts, with an explicit focus on SoF treatment, is performed. Findings: The exposition, analysis and results are fully consistent with our theoretical framework, “social Darwinism”. We add the Albanian case to previous studies, providing a contrasting scenario in that Albania has a significantly different history over recent decades. We illustrate a different socially-constructed reality from the seven countries of Alexander et al. (2018), and extend the overall understanding and the overall picture. The Albanian “organism” (accounting GAAP system) is consistent with its socially-constructed reality/environment. SoF seems to be distorted in its passage from Directive/IFRS originating sources, and this may well be fully consistent with local needs, realities, and cultures. Contribution: This research contributes to academic debate in three ways. First, it adds evidence to the literature on harmonisation processes, analysing the evolution of financial reporting regulation for a specific country and the application of a fundamental concept, such as SoF, comparing it to other national regulations. Second, this work contributes to further research, being a pioneer for the application of the “social Darwinism” to the analysis of a GAAP system. Finally, the paper contributes to the development of research on translation issues in accounting, by technically analysing the level of translation of the IASB Conceptual Framework for Financial Reporting and back-translating from national Laws.

How Customers Evaluate Genitalia versus Torso Sex Toys on Amazon.com: A Content Analysis of Product Reviews

Sex toys are widely marketed on the Internet. Browsing for, buying, and reviewing sex toys online are popular cybersexual activities. The aim of this study was to investigate consumers’ experiences with different types of realistic sex toys via online product reviews on Amazon.com. Toys were categorized in a 2 × 2 design regarding their representation of the human body (genitalia sex toys representing reproductive organs only versus torso toys representing larger parts of the human body) and their depiction of gender (toys representing female versus male body parts). Informed by feminist discourses on sex toys as well as sexual script theory and consumer research, the study explored the overall evaluations (RQ1), most frequently addressed characteristics (RQ2), usage patterns (RQ3), and perceived effects (RQ4) of the four groups of sex toys. A quantitative manual content analysis of N = 778 online sex toy reviews showed that 79% of consumers gave popular realistic sex toys positive ratings (RQ1). The most frequently mentioned characteristics were quality, material, and shape (RQ2). Most reviewers were men and used sex toys for solo sexual activities (RQ3). An additional qualitative analysis of n = 69 reviews addressing the perceived effects of sex toy use revealed that consumers predominantly mentioned positive effects (RQ4). Genitalia sex toys received better evaluations than torso sex toys and were perceived to be complementary tools to enhance sexual arousal, whereas the use of torso toys entailed anthropomorphization and symbolic social interactions. Implications for future research and design of different types of sex toys are discussed.

Alcohol Portrayals on Social Media (Social Media)

Alcohol Portrayals on Social Media (Social Media)

Effect of a community-based intervention on self-care among diabetes patients in rural Tamil Nadu: A mixed-method study

IntroductionPeer support models for the management of diabetes self-care have been hailed as a promising solution to strengthen a formal health system to support diabetes patients. Diabetes self-care in patients can truncate the risk factors and reduce the complications. ObjectiveTo identify self-care level (adherence to the diet, exercise, treatment) and depression among known diabetes patients and to find the effect of the support group intervention on diabetes self-care. Methods and materialA Sequential type Embedded Mixed-Method study (qual→QUAN(qual)→qual) was conducted in three phases in 168 known diabetes adults aged ≥ 30 years in a rural setting. After obtaining IEC clearance, the intervention was carried out over eight months, forming peer support groups in four villages. Each group comprises between six to 12 participants. Assessment of self-care, treatment adherence and depression with standardized scales. Data analysisA manual content analysis was performed on the qualitative data. The Wilcoxon rank test was used to compare the quantitative data before and after intervention and analyzed using SPSS (Version_24) software package. ResultsIn this study, we found improved self-care practices and treatment adherence among study participants (p < 0.001). About 88.7% of participants said that the support group was useful and provided moral support for diabetes. ConclusionWe found an improvement in treatment adherence, self-care among diabetes patients’ and marginal improvement in depression status through support group intervention. Also the peer support group was well accepted, and it provided the low-cost, feasible intervention respect to the chronic conditions like diabetes, by addressing their behavioral changes and support from community. By sustaining the support group, might able to achieve the efficient health care in high quality even at resource-poor settings. Key messagesA Community-Based intervention for the diabetes self-care using peer support group among the diabetes patients will improve the self-care practices in the area with limited access to healthcare and financial resources, it provides a low-cost, flexible, culturally sensitive approach to support self-care management and reduce the further complications among It also imporve the problem-solving capacity and social support from families and peers patients.

Exploring the extent of digitalisation and digital diplomacy in Pakistan embassies

ABSTRACT This study examines Pakistan embassies' social media adoption, use, and level of public engagement in relation to ‘networked public diplomacy'. Web surveying showed that majority of the embassies have accounts on social networking sites, but some are inactive. The manual content and thematic analysis of tweets (n = 490) collected during December 2019 from the Twitter accounts of five Pakistan embassies revealed considerable differences in the number, regularity and frequency of the posts; but showed similarity in the message content disseminated by the embassies. The results also demonstrated that the embassies generally follow state-centric informative and one-way communication strategies, with the exception of one embassy that somewhat engaged its audience through Twiplomacy. A key finding showed that embassies in places with fewer diaspora are more effective in producing messages that encourage dialogic communication compared with embassies with a larger expat population. In addition, results from user profile analysis of the accounts’ followers suggested a limited digital presence of Pakistani missions among the foreign netizens. In general, the findings showed that Pakistan embassies are present on social media sites, but lack the inclination to communicate dialogically in real time and to show reasonable presence among digital audiences.

Corporate governance reforms and risk disclosure quality: evidence from an emerging economy

PurposeThe purpose of this paper is to examine the impact of corporate governance (hereafter, CG) reforms on the risk disclosure quality in an emerging economy, namely Pakistan. The authors also investigate the impact of CG reforms on the relationship between CG practices and risk disclosure quality.Design/methodology/approachThe authors use a manual content analysis method to a sample of non-financial companies listed on the PSX-100 index for 2009–2015, to examine the impact of CG reforms on risk disclosure quality. The authors use pooled ordinary least squares and the system GMM estimations to test the research hypotheses.FindingsThe authors find that CG reforms have a positive impact on risk disclosure quality. The results indicate that certain CG practices such as CEO duality and board independence are associated with risk disclosure quality. Interestingly, the findings also highlight the effectiveness of CG reforms by showing that the revised code positively moderates the CG practices and risk disclosure relationship.Practical implicationsThe findings of the study have policy implications for regulatory bodies of emerging economies trying to strengthen the CG structures and to introduce risk disclosure regulations to cater the information need of stakeholders.Originality/valueThe authors provide new empirical evidence for the impact of CG reforms on risk disclosure quality using a unique setting of an emerging economy, namely Pakistan.

Factors associated with COVID-19 vaccine hesitancy in Senegal: A mixed study

ABSTRACT This study was an explanatory, sequential, mixed-methods design conducted in Senegal. We collected quantitative data from December 24, 2020, to January 16, 2021, and qualitative data from February 19 to March 30, 2021. We conducted a telephone survey among a marginal quota sample of 607 people over 18 years old. We performed descriptive, bivariate, and multivariate analyses with R software for the quantitative phase; and performed manual content analyses for the qualitative phase. We surveyed 607 people for the quantitative phase and interviewed 30 people for the qualitative phase. Individuals who hesitated or refused to be vaccinated represented 12.9% and 32.8%, respectively. Vaccine hesitancy was related to gender, living in large cities, having a poor attitude toward the vaccine, thinking that the vaccine would not help protect them from the virus, being influenced by people important to them, and lacking information from health professionals. Vaccine refusal was related to living in large cities, having a poor attitude toward the vaccine, thinking that the vaccine would not help protect them from the virus, thinking that the vaccine could endanger their health, trusting opinions of people who were important to them, and lacking information from health professionals. The results of the study show that the factors associated with COVID-19 vaccine hesitancy and refusal are diverse and complex. Addressing these factors will help to ensure better vaccination coverage. Governments and health authorities should intensify their efforts to promote vaccine confidence and reduce misinformation.

Corporate social performance and non‐financial reporting in the cruise industry: Paving the way towards UN Agenda 2030

AbstractThis article investigates the role of accounting disciplines in assessing and fostering corporate social performance (CSP) of business organisations to meet the UN Agenda 2030. Drawing from legitimacy theory, this qualitative study analyses if and how non‐financial reporting positively affects and fosters CSP practices and outcomes within the cruise industry. Specifically, using a case study methodology, a major cruise company has been analysed outlining its sustainable behaviour, through the manual content analysis of sustainability reports (2016–2017–2018), in achieving the sustainable development goals (SDGs) introduced by the UN Agenda 2030. The findings outline that the cruise company presents a clear sustainability and community orientation and adopts several initiatives, mostly focused on environmental and social issues, addressed to meet the 17 SDGs, where reputation and positive image have been recognised as the major antecedents in the perspective of CSP. This study contributes to the literature giving a broader and different reading of sustainability reporting as a “booster” of the CSP in meeting the SDGs and a further interesting application of the legitimacy theory, and offers managerial implications to systematise the content of non‐financial reporting by improving the quality of disclosure to achieve the SDGs, with focus on CSP processes, outcomes and ways.

Sustainable Development Goals Disclosure Practices through Integrated Reporting: An Empirical analysis on European Financial Institutions

The goal of the study is to investigate the state of the Sustainable Development Goals (SDGs) disclosure in European financial institutions’ Integrated Reports. As a research approach, manual content analysis was adopted. The study developed a disclosure index as a research tool comprised of the 17 SDGs. The empirical analysis shows that the most disclosed goals were SDG13 (Climate Action), where all the reports disclosed the measures taken by the companies to achieve this goal, followed by SDG7 (Affordable and Clean Energy), as 10 reports disclosed detailed information on this goal. Also, the results provide evidence that SDG2 (Zero Hunger), SDG14 (Life Below Water), SDG15 (Life on Land), and SDG16 (Peace, Justice, and Strong Institutions) came in the last place, respectively. Practically, the study encourages companies in all sectors to adopt the SDGs in their integrated strategy to create better value for stakeholders.

Exploring Resource-Sharing Behaviors for Finding Relevant Health Resources: Analysis of an Online Ovarian Cancer Community.

BackgroundOnline health communities (OHCs) provide patients and survivors of ovarian cancer (OvCa) and their caregivers with help beyond traditional support channels, such as health care providers and clinicians. OvCa OHCs promote connections and exchanges of information among users with similar experiences. Users often exchange information, which leads to the sharing of resources in the form of web links. Although OHCs are important platforms for health management, concerns exist regarding the quality and relevance of shared resources. Previous studies have examined different aspects of resource-sharing behaviors, such as the purpose of sharing, the type of shared resources, and peer user reactions to shared resources in OHCs to evaluate resource exchange scenarios. However, there is a paucity of research examining whether resource-sharing behaviors can ultimately determine the relevance of shared resources.ObjectiveThis study aimed to examine the association between OHC resource-sharing behaviors and the relevance of shared resources. We analyzed three aspects of resource-sharing behaviors: types of shared resources, purposes of sharing resources, and OHC users’ reactions to shared resources.MethodsUsing a retrospective design, data were extracted from the National Ovarian Cancer Coalition discussion forum. The relevance of a resource was classified into three levels: relevant, partially relevant, and not relevant. Resource-sharing behaviors were identified through manual content analysis. A significance test was performed to determine the association between resource relevance and resource-sharing behaviors.ResultsApproximately 48.3% (85/176) of the shared resources were identified as relevant, 29.5% (52/176) as partially relevant, and 22.2% (39/176) as irrelevant. The study established a significant association between the types of shared resources (χ218=33.2; P<.001) and resource relevance (through chi-square tests of independence). Among the types of shared resources, health consumer materials such as health news (P<.001) and health organizations (P=.02) exhibited significantly more relevant resources. Patient educational materials (P<.001) and patient-generated resources (P=.01) were more significantly associated with partially relevant and irrelevant resources, respectively. Expert health materials, including academic literature, were only shared a few times but had significantly (P<.001) more relevant resources. A significant association (χ210=22.9; P<.001) was also established between the purpose of resource sharing and overall resource relevance. Resources shared with the purpose of providing additional readings (P=.01) and pointing to resources (P=.03) had significantly more relevant resources, whereas subjects for discussion and staying connected did not include any relevant shared resources.ConclusionsThe associations found between resource-sharing behaviors and the relevance of these resources can help in collecting relevant resources, along with the corresponding information needs from OvCa OHCs, on a large scale through automation. The results from this study can be leveraged to prioritize the resources required by survivors of OvCa and their caregivers, as well as to automate the search for relevant shared resources in OvCa OHCs.

Transition Services Utilization Among US Women Veterans: A Secondary Analysis of a National Survey

The purpose of this study was to explore the military-to-civilian transition experiences among US women veterans. This study used a cross-sectional, mixed-methods survey research study to examine employment and personal well-being outcomes (sense of purpose) among a sample size of 822 women veterans. The survey instrument focused broadly on measuring different aspects of military transition. The quantitative analysis revealed, through the multivariable logistic regression models, a strong sense of purpose associated with belief in the helpfulness of transition services (aOR = 2.03, 95% CI = 1.06–3.90) and the use of a transition coach (3.43, 95% CI = 1.20–9.82). The qualitative analysis revealed, through manual content analysis, that 64% of women veterans used transition services. However, only 12% reported satisfaction with the available services. The study’s findings present important feedback for organizations hoping to reach female veterans, such as many female veterans feel that the current efforts to assist with their transition are ineffective. For this study, women and female will be used interchangeably.

The Sustainable Development Goals—Sensible Initiative or Just Nonsense? An Investigation of Norwegian Citizens’ Knowledge and Attitudes

We explore what associations Norwegian citizens have with the Sustainable Development Goals (SDGs) through an analysis of their knowledge of and attitudes towards these goals. To achieve this, we combine three methodological approaches: (1) structural topic modelling (STM) providing topic prevalence, (2) manual content analysis including exploration of attitudes, and (3) analysis of how individuals’ background characteristics relate to expressions of negative or positive sentiments towards SDGs. The data consist of 4046 answers to an open-ended question, formulated as follows: What comes to mind when you read or hear the expression ‘UN Sustainability Development Goals?’, fielded during the autumn of 2020, through a survey at the Norwegian Citizen Panel/DIGSSCORE. Major findings: The most prevalent topics associated with the SDGs are poverty, climate/environment, resources, future generations and consumption. The analysis indicates that the Norwegian awareness-raising campaigns have been relatively successful. However, the manual analysis shows that the SDG is an unknown concept for 12% of the respondents, and that 10% hold a negative view. Nine percent of the respondents hold a positive view of the goals. In addition, their attitudes differ clearly according to various background variables (gender, age, political preference). The findings are important for further efforts to spread knowledge of, and raise interest in, the SDGs, at different levels (government, regional and local contexts).

A Comparison of Leximancer Semi-automated Content Analysis to Manual Content Analysis: A Healthcare Exemplar Using Emotive Transcripts of COVID-19 Hospital Staff Interactive Webcasts.

Effective consumer centred healthcare incorporates consumer and clinician perspectives into decision making, in addition to traditional quantitative measures. This information is usually captured in qualitative data that requires manual analysis. Healthcare systems often lack resources to systematically incorporate qualitative feedback into decision making. Semi-automated content analysis tools, such as Leximancer, provide an efficient and objective alternative to time consuming manual content analysis (MCA). Literature on the validity of Leximancer in healthcare is sparse. This study seeks to validate Leximancer against MCA on a broad emotive conversational dataset gathered in a healthcare setting. At the outset of the COVID-19 pandemic, a large Australian hospital and health service conducted interactive webcasts with staff to provide updates and answer questions. A manual thematic analysis and a Leximancer content analysis were conducted independently on 20 webcast transcripts. The findings were compared, along with the time required to the complete each analysis. The Leximancer analysis identified nine concepts, while the manual analysis identified 12 concepts. The Leximancer concepts mapped to five of the concepts identified in the manual analysis, which accounted for 74% of mentions tagged in the text through the manual analysis. Leximancer missed concepts which required an emotional or contextual interpretation. The Leximancer analysis took 21 hours (excluding time to learn the program), compared to 73 hours for the manual analysis. Semi-automated content analysis provides an efficient alternative to manual qualitative data analysis, shifting it from a small-scale research activity to a more routine operational activity, albeit with some limitations. This is critical to be able to utilise at scale the rich narratives from consumers and clinicians in healthcare decision making.

Developing strategies to address barriers for tuberculosis case finding and retention in care among refugees in slums in Kampala, Uganda: a qualitative study using the COM-B model

BackgroundGlobally, displaced populations face an increased burden of tuberculosis (TB). Uganda is currently hosting unprecedented big numbers of refugees from the East African region. Recent evidence shows increased spread of multi-drug resistant TB (MDR-TB) across East Africa as a result of migrants from Somalia- a high MDR-TB prevalent country, calling for urgent identification and management of cases for the countries in the region. One of the strategies recommended is optimization of diagnosis, treatment and prevention of TB in refugees. This study aimed at exploring the barriers to and facilitators for TB case finding and retention in care among urban slum refugees and suggestions on how to improve. This was to guide the development of interventions to improve TB case finding and retention in care among the said population.MethodsA cross-sectional study utilizing qualitative methods was conducted among refugees in an urban slum in Kampala City, Uganda. Key informant interviews with health care workers and community leaders and in-depths interviews with refugee TB patients and care takers of TB patients were conducted (30 interviews in total). Interview questions were based on constructs from the COMB-B model (Capability, Opportunity and Motivation Model of Behaviour change). Manual content analysis was performed and identified targeted intervention strategies guided by the related Behavior Change Wheel implementation framework.ResultsKey barriers included; physical capability (availability of and easily accessible private facilities in the community with no capacity to diagnose and treat TB), psychological capability (lack of knowledge about TB among refugees), social opportunity (wide spread TB stigma and language barrier), physical opportunity (poor living conditions, mobility of refugees), reflective motivation (lack of facilitation for health workers), automatic motivation (discrimination and rejection of TB patients). Facilitators were; physical capability (availability of free TB services in the public health facilities), social opportunity (availability of translators). We identified education, incentivization, training, enablement, and restructuring of the service environment as relevant intervention functions with potential to address barriers to and enhance facilitators of TB case finding and retention among refugees in urban slums.ConclusionThe key barriers to TB control among refugees living urban slums in Kampala- Uganda, included; poor access to health services, limited knowledge about TB, TB stigma, language barrier and lack of facilitation of community health workers. Identified intervention strategies included; education, training, enablement, environmental restructuring and persuasion. The findings could serve as a guide for the design and implementation of interventions for improving the same.

Gender Reporting Guidelines in Italian Public Universities for Assessing SDG 5 in the International Context

Gender equity is a topic of significant interest for universities, who are called upon to plan strategies and measures to increase gender equality in line with international policies. With a qualitative methodology based on manual content analysis, the paper aims to understand whether and how this report could positively assess a university’s actions for reaching SDG 5. This study’s results show that the CRUI guidelines can be used by universities to disclose gender policies that may be of interest to stakeholders, and can also be synthesized in THE ranking, increasing university visibility. The present study could be helpful for universities, regulatory bodies, policy makers, and agency rankings to help them identify the most relevant gender items on which to focus their attention.

When Politicians Meet Experts: Disinformation on Twitter About Covid-19 Vaccination

The Covid-19 vaccination has meant a huge challenge for crisis communication. After months of lockdowns, mass vaccination was a silver lining moment, but it was under threat from disinformation boosted by misinformation on social media. This research explores how opinion leaders among political leaders and health experts used Twitter to create and manage messages about the vaccination process. Specifically, we show the issues (issue frame) and strategies (game frame) applied by these actors. This study employs a corpus on the words “Covid-19” and “vaccines” used on Twitter by the heads of government and 10 recognized health experts (two for each country) in the US, the UK, France, Portugal, and Spain. We also analyze the accounts of fact-checking projects on those countries (@PolitiFact, @FullFact, @decodeurs, @JornalPoligrafo, and @maldita). The sample allows the comparison of countries with different political cultures that participated differently in the production of vaccines. The data were captured from the beginning of the vaccination drive (December 14th, 2020) until most of the population above 60 were vaccinated (May 14th, 2021). A manual content analysis was performed on the tweets (n = 2,607). The results illustrate that the politicians mostly disagreed with experts regarding issues and strategies. This finding can foster distrust in the elites and, therefore, threatens the long-term success of a public health campaign. Our study contributes to discussions on the role of networks for social cohesion, arguing that the public conversation on Twitter about the vaccination has revealed high levels of controversy.

Google News and Machine Gatekeepers: Algorithmic Personalisation and News Diversity in Online News Search

Through a mixed methods research design, we address normative aspects of news recommendation engines by examining whether search personalisation and news diversity are evident on Google News in the UK. First, in a quasi-experimental design, we asked a diverse set of participants (N = 78) to search Google News using four search terms and report the first five articles recommended for each term. We found little evidence of news personalisation, which challenges the claim that news search algorithms contribute to weakened viewpoint diversity. We also found a high degree of homogeneity in news search results, with legacy media brands dominating. Second, we conducted a manual content analysis of the articles recommended by Google News for our search terms (N = 192), focusing on favourability towards each term. We found that while there was little relationship between the favourability slant of the articles and political leanings of participants, there were two exceptions: self-identified right-wing participants were more likely to see unfavourable stories about 1) immigration, and 2) a left-wing politician. This reopens the question of news search engines’ contributions to polarisation and viewpoint diversity for certain news consumers.

Large-scale computational content analysis on magazines targeting men and women: the case of Argentina 2008-2018

ABSTRACT Differences in magazines content aimed specifically at women or men are a means to create and reproduce gender stereotypes. Novel computational tools allow to study differences in magazines content taking into account all available articles. In this study, we analyse the case of two Argentinian magazines published by the same publishing house over a decade (2008–2018), advertised by the publishing house as targeting women and men respectively. Using computational tools, we are able to analyse more than 24,000 articles, which would have been an impossible task using manual content analysis methodologies. With Topic Modelling techniques we identify the main themes discussed in the magazines and quantify their different frequency between magazines over time. Then, we performed a word-frequency analysis to validate this methodology and extend the analysis to other subjects. Our results show that topics such as Family, Business and Women as sex objects present an initial bias that tends to disappear over time. Conversely, in Fashion and Science topics, the initial differences are maintained. Also, we identify a considerable increase in the use of words associated with feminism since 2015 and specifically the word abortion in 2018. Furthermore, we develop a website where everyone can perform additional analysis.