FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4377014418> ?p ?o ?g. }

• W4377014418 endingPage "137369" @default.
• W4377014418 startingPage "137369" @default.
• W4377014418 abstract "Social networks represent an important communication vehicle for various stakeholders, including political organizations, civil society, public figures, digital influencers, and companies. Corporations use social networks to interact with their audience, seeking to externalize their achievements related to the issues of interest to their customers. The primary purpose of this study was to provide insight into the general behavior of companies based on their Twitter conversations related to Environmental, Social, and Governance (ESG) issues and activities. As an underlying idea, the study advocates that social media play a significant role in setting the agenda of Environmental, Social, and Governance factors in business conversations on Twitter. Therefore, it was based on a sample of tweets from 167 Brazilian, French, and American companies, from February 7, 2008, to September 29, 2021. Natural language processing (NLP) techniques were used to analyze conversations about ESG issues on Twitter and identify the network of topics and their trend. More than 6 million tweets were collected in 3 different languages. It was found that in recent years, the popularity of Twitter as a platform for discussions on Corporate Social Responsibility (CSR) and ESG issues, clean and cleaner production has increased significantly. Although incipient and embryonnaire, the analyzed companies are investing and sharing their practices related to clean production in their social networks. Discussions on twitter are focused on corporate environmental management (Planet, Environmental impacts, Environmental Management, Water, Energy, etc.), corporate climate change management (Emissions, Carbon, Climate change, Commitment to tackling climate change etc.) and clean and cleaner production (Re-cycling, Emission Reduction, Reducing impacts and waste, waste management, circular economy, green development etc.). Practically, all company twitter conversations about ESG revolve around these topics. This demonstrates the concern of companies with these issues. In this context, it is important for companies to invest more and more in clean energies, innovations, clean and cleaner technologies. The effective implementation of these practices is essential for the transition to a low-carbon economy." @default.
• W4377014418 created "2023-05-19" @default.
• W4377014418 creator A5012665270 @default.
• W4377014418 creator A5052674697 @default.
• W4377014418 creator A5056432122 @default.
• W4377014418 creator A5073869830 @default.
• W4377014418 date "2023-08-01" @default.
• W4377014418 modified "2023-09-26" @default.
• W4377014418 title "Mapping global conversations on twitter about environmental, social, and governance topics through natural language processing" @default.
• W4377014418 cites W1489094676 @default.
• W4377014418 cites W1790330014 @default.
• W4377014418 cites W1973532025 @default.
• W4377014418 cites W2006009694 @default.
• W4377014418 cites W2041841454 @default.
• W4377014418 cites W2047157082 @default.
• W4377014418 cites W2050063132 @default.
• W4377014418 cites W2056285348 @default.
• W4377014418 cites W2064070726 @default.
• W4377014418 cites W2071394765 @default.
• W4377014418 cites W2081295498 @default.
• W4377014418 cites W2090413011 @default.
• W4377014418 cites W2090594293 @default.
• W4377014418 cites W2092116307 @default.
• W4377014418 cites W2095065410 @default.
• W4377014418 cites W2145855339 @default.
• W4377014418 cites W2150957645 @default.
• W4377014418 cites W2223092947 @default.
• W4377014418 cites W2346164292 @default.
• W4377014418 cites W2405379812 @default.
• W4377014418 cites W261125835 @default.
• W4377014418 cites W2615183179 @default.
• W4377014418 cites W2735927416 @default.
• W4377014418 cites W2770966167 @default.
• W4377014418 cites W2786319747 @default.
• W4377014418 cites W2789315162 @default.
• W4377014418 cites W2911656791 @default.
• W4377014418 cites W2938531267 @default.
• W4377014418 cites W2942959415 @default.
• W4377014418 cites W2964926619 @default.
• W4377014418 cites W3030486003 @default.
• W4377014418 cites W3085975571 @default.
• W4377014418 cites W3121426352 @default.
• W4377014418 cites W3154623061 @default.
• W4377014418 cites W3205567402 @default.
• W4377014418 cites W4200106834 @default.
• W4377014418 cites W4238779927 @default.
• W4377014418 cites W4251308479 @default.
• W4377014418 cites W4361866396 @default.
• W4377014418 cites W882742457 @default.
• W4377014418 doi "https://doi.org/10.1016/j.jclepro.2023.137369" @default.
• W4377014418 hasPublicationYear "2023" @default.
• W4377014418 type Work @default.
• W4377014418 citedByCount "0" @default.
• W4377014418 crossrefType "journal-article" @default.
• W4377014418 hasAuthorship W4377014418A5012665270 @default.
• W4377014418 hasAuthorship W4377014418A5052674697 @default.
• W4377014418 hasAuthorship W4377014418A5056432122 @default.
• W4377014418 hasAuthorship W4377014418A5073869830 @default.
• W4377014418 hasConcept C10138342 @default.
• W4377014418 hasConcept C141261163 @default.
• W4377014418 hasConcept C144133560 @default.
• W4377014418 hasConcept C162853370 @default.
• W4377014418 hasConcept C17744445 @default.
• W4377014418 hasConcept C192975520 @default.
• W4377014418 hasConcept C199539241 @default.
• W4377014418 hasConcept C26011011 @default.
• W4377014418 hasConcept C2780586970 @default.
• W4377014418 hasConcept C39389867 @default.
• W4377014418 hasConcept C39549134 @default.
• W4377014418 hasConcept C518677369 @default.
• W4377014418 hasConcept C54649085 @default.
• W4377014418 hasConceptScore W4377014418C10138342 @default.
• W4377014418 hasConceptScore W4377014418C141261163 @default.
• W4377014418 hasConceptScore W4377014418C144133560 @default.
• W4377014418 hasConceptScore W4377014418C162853370 @default.
• W4377014418 hasConceptScore W4377014418C17744445 @default.
• W4377014418 hasConceptScore W4377014418C192975520 @default.
• W4377014418 hasConceptScore W4377014418C199539241 @default.
• W4377014418 hasConceptScore W4377014418C26011011 @default.
• W4377014418 hasConceptScore W4377014418C2780586970 @default.
• W4377014418 hasConceptScore W4377014418C39389867 @default.
• W4377014418 hasConceptScore W4377014418C39549134 @default.
• W4377014418 hasConceptScore W4377014418C518677369 @default.
• W4377014418 hasConceptScore W4377014418C54649085 @default.
• W4377014418 hasFunder F4320322025 @default.
• W4377014418 hasLocation W43770144181 @default.
• W4377014418 hasOpenAccess W4377014418 @default.
• W4377014418 hasPrimaryLocation W43770144181 @default.
• W4377014418 hasRelatedWork W2403809277 @default.
• W4377014418 hasRelatedWork W2605807128 @default.
• W4377014418 hasRelatedWork W2748952813 @default.
• W4377014418 hasRelatedWork W2759417243 @default.
• W4377014418 hasRelatedWork W2793950317 @default.
• W4377014418 hasRelatedWork W2917482932 @default.
• W4377014418 hasRelatedWork W3131767724 @default.
• W4377014418 hasRelatedWork W3136857366 @default.
• W4377014418 hasRelatedWork W4233440315 @default.
• W4377014418 hasRelatedWork W4309886326 @default.

• next