Representations of Australia in South Korean online news: a qualitative and quantitative approach utilizing Leximancer and Korean keywords in context

This article outlines original empirical research using a quantitative computer-assisted big data approach to survey and evaluate the representation of Australia in popular South Korean online news media sources. This is an exploratory content analysis of news reporting (in Korean and English) on Australia in key Korean digital news media providers and distributors over a six-month-period during which certain key events occurred that drew Korean news media attention to Australia. The research aims to address the fundamental question: what forms and patterns of representation of Australia are present in South Korean online news media? It is designed in large part to understand how Australia is present as a theme in Korean online news, and how this theme is contextualized by associated topics, such as trade, security, or tourism. The quantitative analysis is augmented using a qualitative method: a series of key informant interviews conducted with editors and journalists responsible for the production and prioritization of news. Further, it is interpreted by locating the research in the context of the Australia-South Korea relationship. We summarize the complexities that arise when analyzing large amounts of textual content, especially from two very different languages, discuss the opportunities that arise from mixed methods—by combining big data (breadth) with contextual analysis (depth) and offer suggestions for aspiring researchers.     

Impacts of news media coverage on Canadian medical crowdfunding campaigns

While donation-based crowdfunding for health-related purposes raises hundreds of millions of dollars yearly, most campaigns fail to meet their fundraising goals. Crowdfunding campaigners are advised to seek traditional news media coverage of their campaigns to increase donor interest and fundraising success. In this study, we seek to better understand what happens to donor behavior via donation-based crowdfunding campaigns after they receive news media coverage. While research has focused on the impact of social media sharing on donation-based crowdfunding, academic analyses of the impact of news media coverage is largely speculative. We searched the Newsstream and Factiva databases for Canadian news coverage of domestic donation-based health-related crowdfunding campaigns. This news coverage was paired with the crowdfunding campaign reported on in the story. Campaign text and daily fundraising totals and donor amounts were recorded for the 7 days before and after publication of the news article. The authors identified emergent patterns in this data around the amplification of personal information from the crowdfunding campaign to a wider audience and inclusion of new personal details. This process identified 17 relevant pairs of news stories and crowdfunding campaigns over a review period of just under 5 months in 2021–22. These campaigns raised a total of CAD$443,134 (median CAD$20,030) out of a total goal of CAD$772,500 (median CAD$40,000) or 57.4% of the requested funds. Median campaign donations and donor numbers increased for the 3 days following publication of the news article. Our exploratory analysis shows a relationship between crowdfunding campaigns that receive news media coverage and the numbers of donations and total amount donated shortly after this coverage. Campaigners may feel pressure to participate in news media coverage in order to reach their fundraising goals. Media coverage has implications for campaign recipient privacy and the equitable distribution of health-related funding. This exploratory analysis establishes the need for additional research on this topic.     

Fiscal news and macroeconomic volatility

This paper analyzes the contribution of anticipated capital and labor tax shocks to business cycle volatility in an estimated New Keynesian business cycle model. While fiscal policy accounts for about 15% of output variance at business cycle frequencies, this mostly derives from anticipated government spending shocks. Tax shocks, both anticipated and unanticipated, contribute little to the fluctuations of real variables. However, anticipated capital tax shocks do explain a sizable part of inflation fluctuations, accounting for up to 12% of its variance. In line with earlier studies, news shocks in total account for about 50% of output variance. Further decomposing this news effect, we find permanent total factor productivity news shocks to be most important. When looking at the federal level instead of total government, the importance of anticipated tax and spending shocks significantly increases, suggesting that fiscal policy at the subnational level typically counteracts the effects of federal fiscal policy shocks.     

What׳s news in News? A cautionary note on using a variance decomposition to assess the quantitative importance of news shocks

This paper points out a conceptual difficulty in using a variance decomposition to assess the quantitative importance of news shocks. A variance decomposition will attribute to news shocks movements in endogenous variables driven both by news about future exogenous fundamentals that has yet to materialize (what I call “pure news”) as well as movements driven by realized changes in fundamentals that were anticipated in the past (what I call “realized news”). I present a stylized model in which news about yet unrealized changes in fundamentals is irrelevant for output dynamics, but in which a variance decomposition may nevertheless attribute a large share of the variance of output to news shocks. I then revisit the quantitative importance of news in the model of Schmitt-Grohe and Uribe (2012). In their model news shocks account for 40 percent of the variance of output growth, but this is mostly driven by realized news.     

论电视新闻采编人员的素养与能力

一个优秀的电视新闻采编人员应该具备优秀的政治素养,敏锐的新闻发现能力,过硬的业务素质和良好的职业道德修养。文章对电视新闻采编人员应该具备的素养和能力进行了分析。     

Daily news sentiment and monthly surveys: A mixed-frequency dynamic factor model for nowcasting consumer confidence

Policymakers, firms, and investors closely monitor traditional survey-based consumer confidence indicators and treat them as an important piece of economic information. To obtain a daily nowcast of monthly consumer confidence, we introduce a latent factor model for the vector of monthly survey-based consumer confidence and daily sentiment embedded in economic media news articles. The proposed mixed-frequency dynamic factor model uses a Toeplitz correlation matrix to account for the serial correlation in the high-frequency sentiment measurement errors. We find significant accuracy gains in nowcasting survey-based Belgian consumer confidence with economic media news sentiment.     

Discovering latent commercial networks from online financial news articles

Unlike most online social networks where explicit links among individual users are defined, the relations among commercial entities (e.g. firms) may not be explicitly declared in commercial Web sites. One main contribution of this article is the development of a novel computational model for the discovery of the latent relations among commercial entities from online financial news. More specifically, a CRF model which can exploit both structural and contextual features is applied to commercial entity recognition. In addition, a point-wise mutual information (PMI)-based unsupervised learning method is developed for commercial relation identification. To evaluate the effectiveness of the proposed computational methods, a prototype system called CoNet has been developed. Based on the financial news articles crawled from Google finance, the CoNet system achieves average F-scores of 0.681 and 0.754 in commercial entity recognition and commercial relation identification, respectively. Our experimental results confirm that the proposed shallow natural language processing methods are effective for the discovery of latent commercial networks from online financial news.     

Crude oil price forecasting incorporating news text

Sparse and short news headlines can be arbitrary, noisy, and ambiguous, making it difficult for classic topic model LDA (latent Dirichlet allocation) designed for accommodating long text to discover knowledge from them. Nonetheless, some of the existing research about text-based crude oil forecasting employs LDA to explore topics from news headlines, resulting in a mismatch between the short text and the topic model and further affecting the forecasting performance. Exploiting advanced and appropriate methods to construct high-quality features from news headlines becomes crucial in crude oil forecasting. This paper introduces two novel indicators of topic and sentiment for the short and sparse text data to tackle this issue. Empirical experiments show that AdaBoost.RT with our proposed text indicators, with a more comprehensive view and characterization of the short and sparse text data, outperforms the other benchmarks. Another significant merit is that our method also yields good forecasting performance when applied to other futures commodities.     

Fake news

This analysis uses Twitter stock and options prices sampled at a 30 s frequency around the fake news announcement, of a bid for a controlling stake in Twitter stock, to investigate how noise trading and informed trading is disseminated into equity and option markets. We find reaction to the fake news occurred in the equity market, and the option market reacted with a delay. This differs from many analyses of actual news events, which found informed traders prefer the options market, and information from their trades then leaks into the equity market. We conclude uninformed traders, and those aware of the hoax, prefer to trade in equity over option markets. This result has implications for isolating informed trading around actual news events.     

The effects of economic news on commodity prices

We assess how commodity prices respond to macroeconomic news and show that commodities have been relatively insensitive to such news over daily frequencies between 1997 and 2009 compared to other financial assets and major exchange rates. Where commodity prices are influenced by news, there is a pro-cyclical bias and these sensitivities have risen as commodities have become increasingly financialized. However, models based on news still do a relatively poor job of forecasting commodity prices at daily frequencies. We also find some asymmetries in how commodity prices respond to news, most notably for gold, which alone among commodities acts as a safe-haven when “bad” economic news emerges.     

The relative size of exchange rate and interest rate responses to news: An empirical investigation

This paper examines the relative size of the effects of macroeconomic news on the spot exchange rate, and interest rate differentials (2- and 5-year swap rate differentials), and the synthetic forward exchange rate schedule, for the high-frequency New Zealand data. We find that the spot exchange rate and 5-year swap rates respond by a similar magnitude to monetary surprises, implying there is little response of the forward exchange rate to this type of news. In contrast, the spot exchange rate responds by nearly three times as much as 5-year interest rates to CPI and GDP surprises, implying that forward rates appreciate to higher than expected CPI or GDP news. This is in contrast to standard theoretical models and US evidence. Lastly, we show that exchange rates but not interest rates respond to current account news. The implications of these results for monetary policy are considered.     

Intraday effect of news on emerging European forex markets: An event study analysis

We analyze the impact of euro zone/German and U.S. macroeconomic news announcements and the communication of the monetary policy settings of the ECB and the Fed on the forex markets of new EU members. We employ an event study methodology to analyze intraday data from 2011–2015. Our comprehensive analysis of the wide variety of macroeconomic information during the post-GFC period shows that: (i) macroeconomic announcements affect the value of the new EU country exchange rates, (ii) the origin of the announcement matters, (iii) the type of announcement matters, (iv) different types of news (good, bad or neutral) result in different reactions, (v) markets react not only after the news release but also before, (vi) when the U.S. dollar is the base currency the impact of the news is larger than in the case of the euro, (vii) announcements on ECB monetary policy result in stronger effects than those of the Fed, (viii) temporary inefficiencies are present in new EU country forex markets, (ix) new EU country exchange rates react differently to positive US news during the EU debt crisis compared to the rest of the period.     

Web content mining for comparing corporate and third‐party online reporting: a case study on solid waste management

This study investigates the coverage of solid waste management on 1142 websites maintained by companies, news media and non‐governmental organizations to validate an automated approach to content and language analysis. First, a frequency analysis of waste management terms sheds light on the breadth and depth of their environmental discourses, revealing that corporate and media attention to waste management is small compared with that of non‐governmental organizations. Second, an investigation of their attitudes toward waste management suggests that companies avoid negative information in environmental communication, unlike news media or non‐governmental organizations. Ultimately, an automated tool for ontology building is employed to gain insights into companies' shared understanding of waste management. The ontology obtained indicates that companies conceptualize waste management as a business process rather than framing it from an ecological perspective, which is in line with findings from previous research. Copyright © 2006 John Wiley & Sons, Ltd and ERP Environment.     

Advertising and Political Bias in the Media: The Market for Criticism of the Market Economy

Many observers of the media argue that advertiser support of the news insulates business from critical scrutiny. News organizations know better than to bite the hand that feeds them. I examine several weaknesses in this corporate advertising bias argument. Most significantly, a favorable political climate for business is a public good, so individual businesses have an incentive to support anti–business messages that generate an audience. Transmission of messages that fail to generate sufficient demand is inefficient. In short, advertising does not create a significant political bias.     

False modesty: When disclosing good news looks bad

Is it always wise to disclose good news? Using a new statistical dominance condition, we show that if the receiver has any private receiver information then the weakest senders with good news gain the most from boasting about it. Hence the act of disclosing good news can paradoxically make the sender look bad. Nondisclosure by some or all senders is an equilibrium if standards for the news are sufficiently easy or if prior expectations without the news are sufficiently favorable. Full disclosure is the unique equilibrium if standards are sufficiently difficult or sufficiently fine, or if prior expectations are sufficiently unfavorable. Since the sender has a legitimate fear of looking overly anxious to reveal good news, mandating that the sender disclose the news can help the sender. The model’s predictions are consistent with when faculty avoid using titles such as “Dr.” or “Professor” in voicemail greetings and course syllabi.     

云南知识密集型服务业的人力资源管理研究——以高校为例

高校作为知识密集型服务业的一个组成部分,师资作为其核心发展动力,师资的建设和管理对于如今知识经济高度发达的社会来说就非常重要,通过完善师资的建设来带动高校的发展。文章主要阐述了知识密集型服务业的人力资源管理的方式和特点,进而论述了知识密集型服务业中的高校的人力资源管理即师资管理的对策,并针对云南省发展的特点和云南省高校的特点展开论证。     

网络新闻在公共管理中的影响

媒体技术的发展极大地改变了新闻的传播方式,网络新闻正是媒体、信息技术结合发展的产物,并俨然成为人们获取新闻资讯的主要途径,但其带来的负面影响也是不可忽视的,需要国家进一步强化公共管理力度。论文以网络新闻对公共管理的影响分析入手,提出了网络新闻的公共管理对策。     

Currency news and international bond markets

We use a sample of 27 countries and 63 currency news announcements in an event study framework to examine the impact of currency news on international government bond markets. Our findings reveal a significant spillover of currency news into bond markets. Specifically, the evidence shows significant negative abnormal bond returns, whether measured in dollar terms or local currency terms, implying that currency news plays a role in changing the performance of international government bond markets. We also show that abnormal bond returns remain significantly negative even after controlling for macroeconomic variables. Our results are robust to using alternative risk model specifications, country-level data, and corporate bond data. Our evidence of the significant impact of currency news on bond markets provides essential insights to professional traders, policymakers, and academic researchers.     

The delivery of bad news: An integrative review and path forward

Managing the delivery of bad news is a crucial component of effective human resource management. However, the diversity of contexts in which this phenomenon has been studied has made it difficult to develop a consolidated theoretical and practical understanding of bad news delivery. Using an interdisciplinary integrative review (N = 685), we critically analyze how bad news delivery has been conceptualized as well as what interdisciplinary theoretical insights and practical guidance can be offered. Beyond identifying key challenges in the extant literature, we also provide a path forward by showcasing key opportunities, including how conceptualizing bad news delivery as a dialectic process that unfolds over time can further enhance theoretical insights and practical guidance for effectively managing bad news delivery in the workplace.     

Monetary policy shocks: We got news!

We assess the role of monetary policy news shocks in the context of a medium scale DSGE model estimated on US data. We estimate several versions of the model and find decisive evidence in favour of the inclusion of monetary policy news shocks over a two-quarter horizon. According to our results, monetary policy news shocks account for a non-negligible fraction of the variance of real variables, especially at shorter forecast horizons. Further, we document that the importance of monetary policy news shocks goes beyond what was observed in recent years. The historical importance of monetary policy news shocks dates back to the 1999–2006 period when the official FOMC statements provided information about both the current policy setting and the expected future policy path. We also show that adding monetary policy news shocks to the model does not lead to identification problems.