Peran议程建设bagi公共关系

Farikha Rachmawati
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摘要

公共关系部门负责管理问题,努力维护公司的形象和声誉。本研究旨在确定公共关系在制定增加政府正面形象的议程中的作用。本研究在学术上有助于发展一种独特的公共关系理论,即建立信息补贴的议程。结果表明,公共关系在叙事生产中运用了议程构建策略。公共关系运用议程构建和信息补贴理论,提高公众对政府的正面认知。议程构建从危机小组的策划、问题尖锐化协调会议、制定传播策略、媒体监测、媒体关系、新闻语气分析、叙事制作、评价、信息补贴等环节开始。公共关系实施议程构建信息补贴的理念,通过问题管理影响舆论,分为突出问题、关注问题、框架媒体、将问题与其他符号连接、利用大数据和人工智能全面捕捉问题等几个步骤。质性研究是通过对10名在政府机构工作的公关人员进行访谈进行的。公共关系利用各种媒体来最大化议程建设,例如:大数据、新闻发布会、网站、新闻稿、twitter、Instagram、facebook、youtube直播等。数据分析使用miles, hubberman, saldana和有效性测试与源三角测量。
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PERAN AGENDA BUILDING BAGI PUBLIC RELATIONS
Public relations performs issue management as an effort to maintain the image and reputation of the agency. This study aims to determine the role of public relations in making agendas that increase the positive image of the government. This research is academically useful in developing a distinctive theory of public relations, namely the agenda of building information subsidies. The results show that public relations applies an agenda building strategy in narrative production. The theory of agenda building & information subsidies is used by public relations for positive public perception of the government. Agenda building starts from the planning process carried out by the crisis team, coordination meetings to sharpen issues, making communication strategies, media monitoring, media relations, news tone analysis, narrative production, evaluation, and information subsidies. Public relations has implemented the concept of agenda building information subsidies to influence public opinion through issue management with several steps, namely highlighting certain issues, paying attention to issues, framing media, connecting issues with other symbols, utilizing big data and artificial intelligence to capture issues comprehensively. Qualitative research was conducted by conducting interviews with 10 public relations workers working in government agencies. public relations utilizes various media to maximize agenda building, such as: big data, press conferences, websites, releases, twitter, Instagram, facebook, youtube live streaming, and so on. Data analysis using miles, hubberman, saldana and validity test with source triangulation.    
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