The Internet has added another dimension to public relations in institutions and organisations, as it provided tools and communication channels, especially social networking sites, which provided information and data on public relations for the institution through these websites. In addition to its communication with its audience, and the audience's interaction with it, so our research tagged (the effectiveness of public relations of the Sunni Endowment Diwan through social networking sites): An analytical study of the official Facebook page of the Diwan that addresses the knowledge and monitoring of the contents of the official Facebook page that public relations adopt in providing information, data, and activities of the Sunni Endowment Diwan, and their effectiveness. The research problem was represented by the main question: How effective is the public relations of the Sunni Endowment Office through the official Facebook page? This research was classified as a descriptive research, and the two researchers adopted the survey method in order to achieve the objectives of the research and answer its questions, and they used the tool: content analysis as a research tool, and they analyzed the contents of the official page of the Sunni Endowment Diwan on the Facebook site, which the Diwan uses to communicate with its audience. The content of the publications for the period from 1/1/2023 to 1/31/2023, And one of the most results conclusions is that the Sunni Endowment Diwan page on Facebook is more interested in publishing the news of the head, agents and managers Diwan than it is in publishing news and information of interest to the institution's audience. And that the audience of the institution interacts with publications that concern its interests and personal needs, so the publications of interest to the public got the highest likes, comments, shares, and videos.
Community structures are fundamental in understanding the structure and functionality of complex networks. Different optimization algorithms, including both single-objective and multi-objective approaches, have been employed to address the challenge of community detection. Recently, multi-objective evolutionary algorithms (MOEAs) have attracted many researchers to identify communities in static networks. Many algorithms have been proposed to find a solution that achieves a trade-off between exploring new areas of the solution space and improving the quality of existing solutions. In this trade-off is crucial; whereas exploitation improves existing solutions, it may fail to find better solutions from insufficiently explored regions o
... Show MoreCommunity detection is one of the most fundamental applications in understanding the structure of complicated networks. Furthermore, it is an important approach to identifying closely linked clusters of nodes that may represent underlying patterns and relationships. Networking structures are highly sensitive in social networks, requiring advanced techniques to accurately identify the structure of these communities.Most conventional algorithms for detecting communities perform inadequately with complicated networks. In addition, they miss out on accurately identifying clusters. Since single-objective optimization cannot always generate accurate and comprehensive results, as multi-objective optimization can.Therefore,we utilized two objective
... Show MoreThis paper offers a critical examination of Canadian news guidelines and policies
on user-generated content (UGC) posted on news-related comment sections and
social media.
The outline of how news-related UGC is moderated within Canadian news is achieved
by looking at the online comment policies of major Canadian news organizations like .
the CBC, CityNews (Halifax), CTV News, Glacier Media, Global News, The Globe
and Mail, Narcity Media, Postmedia, QUB (Québecor), and Torstar.The policies highlight how Canadian news organizations have practical strategies
to manage news-related UGC but also call upon positive and negative social
principles, to flag ill practices, foster democracy, and fight against online hate sp