Populist Twitter Posts in News Stories     

Raffael Heiss  Christian von Sikorski 《Journalism Practice》2019,13(6):742-758

Research in information processing suggests that the journalistic practice of embedding right-wing populist Twitter posts in news may stimulate political polarization. To test this notion, we conducted an online experiment (N?=?379). We investigated how highlighted right-wing populist statements affected individuals from different ideological stances and whether potential effects were determined by Twitter-specific characteristics (Twitter frame, profile picture). We exposed participants to two articles, each including a statement by a politician of the Austrian Freedom Party. In the first group, the statements were not highlighted (control group). In the second and third group, the statements appeared as conventional block quotes either without (G2) or with (G3) a picture of the politician. In the fourth and fifth group, the statements were highlighted as Twitter posts, again either without (G4) or with (G5) a picture of the politician. Results revealed that all highlighting conditions increased statement recognition among left-wing individuals. However, the full Twitter post condition exerted the strongest effect. Higher recognition then decreased left-wing individuals’ anti-immigrant attitudes and sympathy toward the right-wing populist candidate. Thus, embedding right-wing populists’ Twitter posts may induce disconfirmation bias among left-wing voters and trigger a process in which they strengthen their initial attitudes.  相似文献   

用户查询中潜在时间意图分析及其检索建模     

张晓娟  陆伟  周红霞 《现代图书情报技术》2011,(11)

基于Sogou实验室提供的查询日志数据和新闻数据,探讨潜在时间意图查询的判断及其相关时间属性识别,构建潜在时间意图查询的检索排序模型。实验结果表明,时间属性识别的准确率为85%,且构建的检索模型能有效提高排序效果。  相似文献   

Algorithmic bias in data-driven innovation in the age of AI     

《International Journal of Information Management》2021

Data-driven innovation (DDI) gains its prominence due to its potential to transform innovation in the age of AI. Digital giants Amazon, Alibaba, Google, Apple, and Facebook, enjoy sustainable competitive advantages from DDI. However, little is known about algorithmic biases that may present in the DDI process, and result in unjust, unfair, or prejudicial data product developments. Thus, this guest editorial aims to explore the sources of algorithmic biases across the DDI process using a systematic literature review, thematic analysis and a case study on the Robo-Debt scheme in Australia. The findings show that there are three major sources of algorithmic bias: data bias, method bias and societal bias. Theoretically, the findings of our study illuminate the role of the dynamic managerial capability to address various biases. Practically, we provide guidelines on addressing algorithmic biases focusing on data, method and managerial capabilities.  相似文献   

A data quality approach to the identification of discrimination risk in automated decision making systems     

《Government Information Quarterly》2021,38(4):101619

Automated decision-making (ADM) systems may affect multiple aspects of our lives. In particular, they can result in systematic discrimination of specific population groups, in violation of the EU Charter of Fundamental Rights. One of the potential causes of discriminative behavior, i.e., unfairness, lies in the quality of the data used to train such ADM systems.Using a data quality measurement approach combined with risk management, both defined in ISO standards, we focus on balance characteristics and we aim to understand how balance indexes (Gini, Simpson, Shannon, Imbalance Ratio) identify discrimination risk in six large datasets containing the classification output of ADM systems.The best result is achieved using the Imbalance Ratio index. Gini and Shannon indexes tend to assume high values and for this reason they have modest results in both aspects: further experimentation with different thresholds is needed.In terms of policies, the risk-based approach is a core element of the EU approach to regulate algorithmic systems: in this context, balance measures can be easily assumed as risk indicators of propagation – or even amplification – of bias in the input data of ADM systems.  相似文献   

移动计算中概率数据集成的Top-k算法     

潘林  齐庆芳 《德州学院学报》2014,(6):63-67

基于一个给定的移动计算场景,讨论了模式映射的概率和相关的查询回答算法,并且描述了一个分布式的Top-k算法.  相似文献   

特质焦虑者注意偏向的研究综述     

邵秀巧  曹雪梅 《河北广播电视大学学报》2014,(2):95-96

特质焦虑者对威胁信息的注意偏向影响其焦虑易感性。研究表明,威胁刺激的水平、特质焦虑者的状态焦虑水平、威胁刺激呈现的时间长短等是影响特质焦虑者注意偏向的主要因素。但是由于实验范式和刺激材料以及实验手段的不同,这些影响因素在注意偏向中的作用还需进一步明确。  相似文献   

Teacher classroom interactions and behaviours: Indications of bias     

《Learning and Instruction》2022

In some recent studies, researchers have measured teacher implicit bias and some have shown that teacher bias predicts student academic outcomes. Currently, however, how bias is portrayed to individual students is largely unknown. In this exploratory qualitative study, observations totalling 4 h per participant were undertaken with ten secondary, six intermediate, and four primary teachers in New Zealand. We utilised a thematic analysis approach to identify three themes: “differential nonverbal behaviours”, “differential academic interactions” and “differential reactions under the same conditions” that captured teachers' classroom interactions. Our findings suggested that teachers’ differential behaviours were mediating teacher bias. This was because teacher bias was recorded in every classroom; however, teachers displayed biased behaviours to varying degrees. Bias was displayed through various nonverbal and academic interactions, and some teachers portrayed their bias by treating some students differently when the situation for all students was the same.  相似文献   

教育对中国经济增长的影响效应——基于元回归分析方法的分析     

赵冉  杜育红  朱倩文 《教育研究》2022,43(1):47-61

基于60篇教育与中国经济增长实证研究中626个回归方程的元分析发现,教育对中国经济增长的作用估计受到不同研究特征的影响。尤其是,"显著效应"的实证结果受到估计方法、教育变量和经济增长变量的设定形式、教育变量的测量指标、样本起始年份、区域和控制变量选择等研究特征的显著影响。使用变量增长率形式、运用工具变量法、使用入学率和教育经费数据估计会降低显著性效应的概率;样本区域覆盖面越小、样本起始年份越早、使用受教育年限数据估计会增加显著性效应的概率。漏斗不对称检验显示样本文献存在显著的正向偏误,即回归结果越显著的研究越有可能被发表。因此,在分析教育对我国经济增长的作用时,必须考虑研究之间的异质性和可能存在的发表偏误。未来应重点关注的是,改进测量和估计方法,通过更严谨的研究设计精确识别教育对我国经济增长的因果效应;结合中国经济发展的阶段特征,分行业和部门讨论教育的作用,同时拓展非线性模型以考察教育的收益递增的外部效应;持续关注对教育质量的监测及其对经济增长的影响,为高质量教育体系的建设提供科学的理论支持。  相似文献   

问题与策略:我国省级综合档案馆微信公众号移动服务研究     

孙大东  李真儿 《档案管理》2021,(2):100-102

由于具有互动营销功能,微信可作为档案移动服务平台建设的重要选择之一。本文以《档案移动服务平台建设指南》为依据,采用网络调查法调查了我国省级综合档案馆微信公众号开展档案查询、档案展厅、档案资讯、互动交流等移动服务的现状,在此基础上分析了其中存在的问题,并以部分优秀微信公众号和移动服务平台为例提出了相应的优化策略。  相似文献   

墨西哥汉语习得者的汉语单音节字调的习得     

王红斌 《绵阳师范学院学报》2014,(10)

采用非随机任意抽样法抽取语音训练约100小时左右的4名墨西哥汉语习得者,对其288个普通话单音节四声的发音进行声学分析。实验数据及分析结果显示,汉语语音训练约100小时左右的墨西哥汉语习得者的普通话四声偏误和错误的特点是:(1)在调域偏误上有如下降级序列:去声>阴平>阳平;(2)在调型偏误上有如下降级序列:阳平>上声;(3)调型偏误和调域偏误>调型错误。声学分析;调类;调型;调域;错误;偏误  相似文献