New Trend: The Combination of News and New Media

Author:

Wang Siyi,Ma Yiming

Abstract

This essay explores the convergence of journalism and new media, highlighting its transformative impact on news dissemination. It begins by noting how new media has replaced traditional platforms like newspapers and television, offering more diverse and personalized ways to access information. The essay discusses the integration of big data in journalism, which enhances news accuracy and relevance through advanced data processing and recommendation systems. Platforms like Tencent News and Weibo exemplify how big data enables precise news delivery. Additionally, the essay introduces experiential journalism, which uses virtual reality (VR) to provide immersive news experiences. While VR makes news more engaging and interactive, it also raises concerns about maintaining authenticity. The rise of citizen journalism is also examined, emphasizing how new media empowers ordinary people to report news, thereby increasing timeliness and coverage. The essay concludes by acknowledging that while new media broadens news accessibility and convenience, it also presents challenges such as declining credibility. It suggests that combining new and traditional media is essential for ensuring high-quality, reliable journalism.

Publisher

Asia Pacific Science Publications Company Limited

Reference15 articles.

1. ABC NEWS (2016) Chernobyl 30 Years Later: A 360 Video Tour Inside the Ghost Town, ABC News. [Z] ABC News Network.

2. Allan, S. (2013) Citizen witnessing: Revisioning journalism in times of crisis. Cambridge: Polity. [J]11-35.

3. Bivens, R.K. (2008) The internet, mobile phones and blogging, Taylor & Francis. [M]

4. Jaekel, B. (2016) NY Times VR play is publisher's most successful App Launch, Marketing Dive. [Z]

5. Hendrickx, J., Smets, A. and Ballon, P. (2021) News Recommender Systems and news diversity, two of a kind? A case study from a small media market. [M] MDPI. Multidisciplinary Digital Publishing Institute.2(3)1-18.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3