Trustworthy journalism through AI. Data

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== Context == == Context ==
-Context words+The increasing prominence of social media and ‘quick’ content has put pressure on traditional news media as the previous methods of spreading news headlines has been sped up drastically. Since the internet and social media can transmit information at a lightning-fast rate, many people, and organizations race to be the first to report on news stories. The speed of which news is reported has no bearing on the validity of the content that is shared. Social media news also has the added effect of being able to view people’s insights and feelings towards the news with their responses to posts; especially in the comment sections. Social media news accounts are also encouraged to be the first to tell a story as they will often be rewarded with financial benefits due the many platforms’ advertising and subscription strategies. Since traditional news websites focus on providing complete, accurate news stories, their creation time is severely increased due to the extra work that is involved. Traditional news mediums are also facing financial troubles with their decreasing ability to sell advertisements, subscriptions and sales due to the amount of free news sources that are available to the public. Due to the nature and operation of social media sites, content (including advertisements) is often recommended to users based on their collected user data and demographics which can lead to issues if ‘fake news’ or disinformation is being spread and recommended to a large number of users. As News media attempts to catch up to social media news, the speed of which content is spread is one of the main concerns. AI has becoming a new tool that journalists have been using in process of writing articles, however, AI is still not trusted completely by the public. AI can be used at many stages in the production of the news production cycle and this article goes over the ways journalists can use AI to increase trust and increase the speed of every stage in production.
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== Overview == == Overview ==

Revision as of 22:42, 1 December 2023

Contents

Trustworthy journalism through AI. Data & Knowledge Engineering

Opdahl, A. L., Tessem, B., Dang-Nguyen, D.-T., Motta, E., Setty, V., Throndsen, E., Tverberg, A., & Trattner, C. (2023). Trustworthy journalism through AI. Data & Knowledge Engineering, 146, 102182-.

DOI: https://doi.org/10.1016/j.datak.2023.102182

Permalink: https://ocul-bu.primo.exlibrisgroup.com/permalink/01OCUL_BU/p5aakr/cdi_crossref_primary_10_1016_j_datak_2023_102182


Context

The increasing prominence of social media and ‘quick’ content has put pressure on traditional news media as the previous methods of spreading news headlines has been sped up drastically. Since the internet and social media can transmit information at a lightning-fast rate, many people, and organizations race to be the first to report on news stories. The speed of which news is reported has no bearing on the validity of the content that is shared. Social media news also has the added effect of being able to view people’s insights and feelings towards the news with their responses to posts; especially in the comment sections. Social media news accounts are also encouraged to be the first to tell a story as they will often be rewarded with financial benefits due the many platforms’ advertising and subscription strategies. Since traditional news websites focus on providing complete, accurate news stories, their creation time is severely increased due to the extra work that is involved. Traditional news mediums are also facing financial troubles with their decreasing ability to sell advertisements, subscriptions and sales due to the amount of free news sources that are available to the public. Due to the nature and operation of social media sites, content (including advertisements) is often recommended to users based on their collected user data and demographics which can lead to issues if ‘fake news’ or disinformation is being spread and recommended to a large number of users. As News media attempts to catch up to social media news, the speed of which content is spread is one of the main concerns. AI has becoming a new tool that journalists have been using in process of writing articles, however, AI is still not trusted completely by the public. AI can be used at many stages in the production of the news production cycle and this article goes over the ways journalists can use AI to increase trust and increase the speed of every stage in production.

Overview

Overview body text


Strengths and Weaknesses

Strengths

more words

Weaknesses

Weaknesses statements

Assessment

Assessments

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