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The purpose of this study was to perform sentiment analysis and analyze the growth and popularity of Drupal, Joomla and WordPress on YouTube over a four-year period. This included identifying the most liked and commented videos for each content management system (CMS), ranking the CMSs based on the number of positive comments they received, and using natural language processing techniques to identify the top ten most frequently appearing words in videos about the CMSs.

The data for assessing the features of the videos of Drupal, WordPress and Joomla was extracted using Webometric Analyst version 4.4. with the help of the YouTube application programming interface key for videos on the selected CMSs uploaded from 2019 to 2022. The extraction of comments and sentiment analysis for the relevant videos was done using Mozdeh.

This study scrutinized 371, 234 and 313 videos of WordPress, Joomla and Drupal on YouTube. The findings reveal that there is a chronological growth of videos of the three CMSs in four years and till the present time, WordPress has the highest number of videos followed by Drupal and then Joomla. Regarding the ranking of highly liked videos, WordPress again wins the list with the highest number of likes in its videos followed by Drupal and then Joomla. For analyzing sentiments of the total comments extracted 123,409 for WordPress, 1,790 for Joomla and 1,783 for Drupal, respectively, WordPress receives the highest average positive comments followed by Drupal then Joomla. In top word frequency, the word “thank” highly occurs and viewers are asking for more tutorial videos.

To the best of the authors’ knowledge, this study is the first attempt for analyzing the sentiments of WordPress, Drupal and Joomla using Mozdeh software within the concerning period.

The consumption of news from social media is the new trend, still news channels are the authentic source to transmit relevant news to audiences. Social media has gradually left an impact on the audience but the news channels have upgraded and providing various news services online on social media websites. The present study aims to study the type of news videos uploaded by the top five Hindi TV news channels on their YouTube channels with an aim to see which type of videos spark interest for YouTube viewers.

By applying the techniques of content analysis, sentiment analysis and text mining the study aims to measure the average sentiments, top words and the trend of selected popular terms in the comments on uploaded news videos by the top five Hindi news channels over a period of one year.

Results of the study indicate that the news channels are uploading more news videos about crime and investigation, politics, health and protests while uploading fewer news videos covering travel, science and technology, and religion. While the viewers of the participating news channels are more interested in giving their thoughts or opinions in the form of comments on news videos concerning crime, politics, protests and health or that these videos inspire conversation on YouTube.

The findings might be of interest to content managers of news channels to understand the interest of their audience.

The study's distinctiveness resides in the approach utilised to collect data and analyse the results in order to better understand the online behaviour of news channel audiences.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-01-2022-0007

The purpose of this paper is to investigates if and why audience gender ratios vary between museum YouTube channels, including for museums of the same type.

Gender ratios were examined for public comments on YouTube videos from 50 popular museums in English-speaking nations. Terms that were more frequently used by males or females in comments were also examined for gender differences.

The ratio of female to male YouTube commenters varies almost a hundredfold between museums. Some of the difference could be explained by gendered interests in museum themes (e.g. military, art) but others were due to the topics chosen for online content and could address a gender minority audience.

Museums can attract new audiences online with YouTube videos that target outside their expected demographics.

This is the first analysis of YouTube audience gender for museums.

This chapter provides an overview of the specific legal, ethical, and privacy issues that can arise when conducting research using Twitter data. Existing literature is reviewed to inform those who may be undertaking social media research. We also present a number of industry and academic case studies in order to highlight the challenges that may arise in research projects using social media data. Finally, the chapter provides an overview of the process that was followed to gain ethics approval for a Ph.D. project using Twitter as a primary source of data. By outlining a number of Twitter-specific research case studies, the chapter will be a valuable resource to those considering the ethical implications of their own research projects utilizing social media data. Moreover, the chapter outlines existing work looking at the ethical practicalities of social media data and relates their applicability to researching Twitter.

Toward achieving a better guest experience, the current study aims to use the word frequency comparison technique to evaluate the types of attributes and services that are used most frequently in guests’ five- and one-star reviews on TripAdvisor. The working-paper also aims to investigate the differences between reviews written by men and women.

A combined sentiment and text analysis was applied to 329,849 UK hotel reviews from UK TripAdvisor to identify factors that influence customer satisfaction, including those with gender differences.

The present findings reveal important differences between the male- and female-produced terms. The results show that female travelers pay more attention to the hotel’s core products and their comfort compared to male travelers. In terms of food and beverage, men’s comments tended to focus on pubs, beer and certain types of food. In contrast, women’s comments were more likely to be related to healthy eating, such as homemade, vegan and vegetarian foods, as well as fruits and healthy breakfasts. Women also pay more attention to the soft skills of staff such as friendliness, helpfulness and welcoming messages.

While core attributes of a hotel stay remain crucial for all guests, disparities exist between the language men and women use to describe them. For core products, women pay more attention to the room’s cleanliness, comfort and features such as bed, pillow, blanket, towel, toiletries and decoration, whereas men pay more attention to the layout, size and type of room. Hotels may use gender as a segmentation variable and use these findings in their marketing campaigns.

This is one of the first studies offering insights into the differences between the male and female reactions to and preferences for hotel services at a national level. Following a novel method, this study has listed and ranked attributes and differentiated them based on gender.

The purpose of this paper is to assess the extent to which the news is discussed in social network web sites.

This article reports a quantitative analysis of the text of 26,953 Windows Live Spaces from September 2006 to February 2007 using a heuristic designed to detect news discussions. In addition, a comparative link and page analysis of 20 popular general social network environments (e.g. MySpace and Facebook) and 11 popular blog environments (e.g. Typepad and Blogger) is presented.

The text analysis suggests that news plays little role in most Windows Live Spaces, but the link and page analysis suggests that the key difference is less between social network environments and blog environments than between free standardised environments (e.g. MySpace and Blogger) and professional or semi‐professional blogs, with the former tending to carry relatively little news‐related content.

The methods used are exploratory rather than giving definitive conclusions.

Those interested in public reactions to the news should focus on blogs and blog‐like social network sites rather than general social network sites, and should expect only a tiny proportion of the discussions to be news‐related.

Although the role of blogs in reporting, discussing and making the news has been analysed frequently, this is the first study about the extent to which general social networking sites engage with (mass media) news.

The purpose of this paper is to analyse popular YouTube science video channels for evidence of attractiveness to a female audience.

The influence of presenter gender and commenter sentiment towards males and females is investigated for 50 YouTube science channels with a combined view-count approaching ten billion. This is cross-referenced with commenter gender as a proxy for audience gender.

The ratio of male to female commenters varies between 1 and 39 to 1, but the low proportions of females seem to be due to the topic or presentation style rather than the gender of the presenter or the attitudes of the commenters. Although male commenters were more hostile to other males than to females, a few posted inappropriate sexual references that may alienate females.

Comments reflect a tiny and biased sample of YouTube science channel viewers and so their analysis provides weak evidence.

Sexist behaviour in YouTube commenting needs to be combatted but the data suggest that gender balance in online science presenters should not be the primary concern of channel owners.

This is the largest scale analysis of gender in YouTube science communication.

The purpose of this paper is to present a study about gender differences in the climate change communication on Twitter and in the use of affordances on Twitter.

The data set consists of about 250,000 tweets and retweets for which the authors’ gender was identified. While content of tweets and hashtags used were analysed for common topics and specific contexts, the usernames that were proportionately more frequently mentioned by either male or female tweeters were coded according to the usernames’ stance in the climate change debate into convinced (that climate change is caused by humans), sceptics, neutrals and unclear groups, and according to the type or role of the user account (e.g. campaign, organization, private person).

The results indicate that overall male and female tweeters use very similar language in their tweets, but clear differences were observed in the use of hashtags and usernames, with female tweeters mentioning significantly more campaigns and organizations with a convinced attitude towards anthropogenic impact on climate change, while male tweeters mention significantly more private persons and usernames with a sceptical stance. The differences were even greater when retweets and duplicate tweets by the same author were removed from the data, indicating how retweeting can significantly influence the results.

On a theoretical level the results increase the understanding for how women and men view and engage with climate change. This has practical implications for organizations interested in developing communication strategies for reaching and engaging female and male audiences on Twitter. While female tweeters can be targeted via local campaigns and news media, male tweeters seem to follow more political and scientific information. The results from the present research also showed that more research about the meaning of retweeting is needed, as the authors have shown how retweets can have a significant impact on the results.

The findings contribute towards increased understanding of both gender differences in the climate change debate and in social media use in general. Beyond that this research showed how retweeting may have a significant impact on research where tweets are used as a data source.

Despite lifestyle information needs being an important part of our daily lives, little is known about the role of common sources. Whilst magazines and television are traditional providers of lifestyle content, including for fashion, makeup, fitness and cookery, they have been partly replaced by content-creating online influencers.

To investigate this new resource, this article analyses comments on the videos of 223 UK female lifestyle influencers on YouTube for information about possible viewing patterns.

Three quarters of comments are written during the week of the video being published, consistent with videos being consumed with an information browsing function, rather than treated as an information resource to be searched when needed. Commenting on the videos of multiple influencers occurred often, suggesting that many viewers are not loyal to a single influencer. Thus, influencers seem to primarily support active scanning rather than searching for specific information. Typical viewers of UK female lifestyle influencers can therefore expect to accumulate lifestyle ideas and knowledge for potential future use in addition to gaining timely suggestions for near future routine decision-making.

Public-facing information professionals, health professionals and counsellors may consider recommending selected videos or influencers to help with lifestyle concerns.

This is the first large scale study of content-creating influencers as a lifestyle information resource.

Public attitudes towards COVID-19 and social distancing are critical in reducing its spread. It is therefore important to understand public reactions and information dissemination in all major forms, including on social media. This article investigates important issues reflected on Twitter in the early stages of the public reaction to COVID-19.

A thematic analysis of the most retweeted English-language tweets mentioning COVID-19 during March 10–29, 2020.

The main themes identified for the 87 qualifying tweets accounting for 14 million retweets were: lockdown life; attitude towards social restrictions; politics; safety messages; people with COVID-19; support for key workers; work; and COVID-19 facts/news.

Twitter played many positive roles, mainly through unofficial tweets. Users shared social distancing information, helped build support for social distancing, criticised government responses, expressed support for key workers and helped each other cope with social isolation. A few popular tweets not supporting social distancing show that government messages sometimes failed.

Public health campaigns in future may consider encouraging grass roots social web activity to support campaign goals. At a methodological level, analysing retweet counts emphasised politics and ignored practical implementation issues.

This is the first qualitative analysis of general COVID-19-related retweeting.