Crowdsourcing Investigations

2014 ◽  
Vol 6 (4) ◽  
pp. 60-75 ◽  
Author(s):  
Andrea H. Tapia ◽  
Nicolas J. LaLone
Keyword(s):  
Public Opinion ◽  
Sentiment Analysis ◽  
Ethical Dilemmas ◽  
The Internet ◽  
Social Approval ◽  
Online Groups ◽  
The Public ◽  
Large Numbers ◽  
Boston Marathon Bombing ◽  
Boston Marathon

In this paper the authors illustrate the ethical dilemmas that arise when large public investigations in a crisis are crowdsourced. The authors focus the variations in public opinion concerning the actions of two online groups during the immediate aftermath of the Boston Marathon Bombing. These groups collected and organized relief for victims, collected photos and videos taken of the bombing scene and created online mechanisms for the sharing and analysis of images collected online. They also used their large numbers and the affordances of the Internet to produce an answer to the question, “who was the perpetrator, and what kind of bomb was used?” The authors view their actions through public opinion, through sampling Twitter and applying a sentiment analysis to this data. They use this tool to pinpoint moments during the crisis investigation when the public became either more positively or negatively inclined toward the actions of the online publics. The authors use this as a surrogate, or proxy, for social approval or disapproval of their actions, which exposes large swings in public emotion as ethical lines are crossed by online publics.

Crowdsourcing Investigations

Crowdsourcing ◽  
2019 ◽  
pp. 1433-1450
Author(s):  
Andrea H. Tapia ◽  
Nicolas J. LaLone
Keyword(s):  
Public Opinion ◽  
Sentiment Analysis ◽  
Ethical Dilemmas ◽  
The Internet ◽  
Social Approval ◽  
Online Groups ◽  
The Public ◽  
Large Numbers ◽  
Boston Marathon Bombing ◽  
Boston Marathon

In this paper the authors illustrate the ethical dilemmas that arise when large public investigations in a crisis are crowdsourced. The authors focus the variations in public opinion concerning the actions of two online groups during the immediate aftermath of the Boston Marathon Bombing. These groups collected and organized relief for victims, collected photos and videos taken of the bombing scene and created online mechanisms for the sharing and analysis of images collected online. They also used their large numbers and the affordances of the Internet to produce an answer to the question, “who was the perpetrator, and what kind of bomb was used?” The authors view their actions through public opinion, through sampling Twitter and applying a sentiment analysis to this data. They use this tool to pinpoint moments during the crisis investigation when the public became either more positively or negatively inclined toward the actions of the online publics. The authors use this as a surrogate, or proxy, for social approval or disapproval of their actions, which exposes large swings in public emotion as ethical lines are crossed by online publics.

scholarly journals Large Event Security - A Case Study of Spokane Events, WA

2021 ◽  
Vol 4 (1) ◽  
pp. 43-56
Author(s):  
Angela Senter ◽  
Mark Beattie ◽  
Demi Deng
Keyword(s):  
Large Scale ◽  
Event Management ◽  
The Public ◽  
Boston Marathon Bombing ◽  
Service Staff ◽  
Guest Satisfaction ◽  
Boston Marathon ◽  
Leadership Decisions ◽  
Martin Luther King

Large event security has become increasingly complex over the past 20 years. Security incidents have included headline tragedies such as the Las Vegas shooting in 2017 and the Boston Marathon bombing in 2013. Spokane, Washington, has been no exception to the need to enhance guest security for large-scale events, as evidenced by the Hoopfest gang-related shooting in 2010 and the Martin Luther King Jr. Day bombing attempt in 2011. Balancing the interests of stakeholders has become challenging for event management professionals in both planning and operations phases. Security strategies and trainings designed for security and guest service staff are critical for the success of new protocols. Transparent communication to the public is crucial for the event's success and the guarantee of guest satisfaction. This case study aims to document the leadership decisions made to enhance security for large-scale events held in Downtown Spokane and the Spokane Arena. Focusing on several tipping points, the leadership decisions and implementation are chronicled as a case study, along with the decisions and protocols that continue to influence large event security in the Spokane area. This study will benefit other event planners and venues as they face security system upgrades, protocols, and implementation.

scholarly journals Topic Relevance of Public Health Emergencies Influence on Internet Public Opinion Resonance: Simulation Based on Langevin’s Equation

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Quan Cheng ◽  
Yan-gang Zhang ◽  
Yi-quan Li
Keyword(s):  
Public Health ◽  
Public Opinion ◽  
Stochastic Resonance ◽  
Resonance Phenomenon ◽  
The Internet ◽  
Resonance Model ◽  
Mutual Correlation ◽  
The Public ◽  
Public Health Emergencies ◽  
Topic Relevance

Public health emergencies occurred frequently, which usually result in the negative Internet public opinion events. In the complex network information ecological environment, multiple public opinion events may be aggregated to generate public opinion resonance due to the topic category, the mutual correlation of the subject involved, and the compound accumulation of specific emotions. In order to reveal the phenomenon and regulations of the public opinion resonance, we firstly analyze the influence factors of the Internet public opinion events in the public health emergencies. Then, based on Langevin’s equation, we propose the Internet public opinion stochastic resonance model considering the topic relevance. Furthermore, three exact public health emergencies in China are provided to reveal the regulations of evoked events “revival” caused by original events. We observe that the Langevin stochastic resonance model considering topic relevance can effectively reveal the resonance phenomenon of Internet public opinion caused by public health emergencies. For the original model without considering the topic relevance, the new model is more sensitive. Meanwhile, it is found that the degree of topic relevance between public health emergencies has a significant positive correlation with the intensity of Internet public opinion resonance.

Research on Key Technology of Internet Public Sentiment

2014 ◽  
Vol 926-930 ◽  
pp. 2030-2033
Author(s):  
De Zhi An ◽  
Yun Ke
Keyword(s):  
Public Opinion ◽  
Social Science ◽  
Natural Science ◽  
Hot Spot ◽  
The Internet ◽  
Public Opinion Research ◽  
Key Technology ◽  
The Public ◽  
Public Sentiment ◽  
The Status

Public opinion research is a new internet discipline of social science and natural science. As a hot spot of public opinion research, the research on the public opinion on the Internet has attracted much attention. By analyzing the status of the research on the public opinion on the Internet in China, this paper establishes the basic framework of the research on the public opinion on the Internet. Then some key technology issues are researched in detail. Based on the method and key technology, the paper introduces the design and implement about the platform of Internet Public Sentiment. This paper is expected to have the value to apply the Internet public sentiment analysis.

Public Opinion, Political Communication and the Internet

Politics ◽  
2002 ◽  
Vol 22 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Heather Savigny
Keyword(s):  
Public Opinion ◽  
Political Parties ◽  
Political Communication ◽  
The Internet ◽  
Traditional Media ◽  
Political Actors ◽  
The Public ◽  
The Media ◽  
Democratic Principles ◽  
Potential Challenge

In contemporary society public opinion is generally mediated by the mass media, which has come to encompass the Habermasian ‘public sphere’. This arena is now characterised by the conflict between market and democratic principles, by competing interests of politicians and the media. The presentation of information for debate becomes distorted. The opinion of the ‘public’ is no longer created through deliberation, but is constructed through systems of communication, in conflict with political actors, who seek to retain control of the dissemination of information. The expansion of the internet as a new method of communication provides a potential challenge to the primacy of the traditional media and political parties as formers of public opinion.

scholarly journals The Influence of Unknown Media on Public Opinion: Evidence from Local and Foreign News Sources

2021 ◽  
pp. 1-15
Author(s):  
ERIK PETERSON ◽  
MAXWELL B. ALLAMONG
Keyword(s):  
Public Opinion ◽  
Political Communication ◽  
Political Influence ◽  
The Internet ◽  
Political News ◽  
The Public ◽  
Mainstream Media ◽  
News Sources ◽  
Foreign Media ◽  
Large Survey

In the Internet era, people can encounter a vast array of political news outlets, many with which they are unfamiliar. These unknown media outlets are notable because they represent potential sources of misinformation and coverage with a distinctive slant. We use two large survey experiments to consider how source familiarity influences political communication. Although this demonstrates the public is averse to consuming news from unfamiliar media, we show that—conditional on exposure to them—unknown local and foreign media sources can influence public opinion to an extent similar to established mainstream news outlets on the same issues. This comparable effectiveness stems from the public’s charitable evaluations of the credibility of unfamiliar news sources and their relatively low trust in familiar mainstream media. We find avoidance of unknown news outlets, not resistance to their coverage, is the primary factor limiting their political influence.

scholarly journals Prediction of The Level of Public Trust in Government Policies in the 1st Quarter of The Covid 19 Pandemic using Sentiment Analysis

2021 ◽  
Vol 317 ◽  
pp. 05013
Author(s):  
Zahra Nur Aziza ◽  
Daniel Yeri Kristiyanto
Keyword(s):  
Sentiment Analysis ◽  
Government Policy ◽  
Research Result ◽  
Public Trust ◽  
The United States ◽  
Government Policies ◽  
Policy Changes ◽  
The Public ◽  
Large Numbers ◽  
The Government

The covid-19 pandemic has made changes in society, including Government policy. The policy changes led to mixing responses from the public, namely netizens. Netizen shares their opinion in social media, including Twitter. Their opinion can represent the public’s trust in the Government. Sentiment analysis analyses others’ opinions and categorises them into positive opinions, negative opinions, or neutral opinions. Sentiment analysis can analyze large numbers of opinions so that public opinion can be analyzed quickly. This paper explains how to analyze public trust using sentiment analysis and to use Naïve Bayes classification method to analyze sentiment. The data research was taken from Twitter in the first quarter of the Covid-19 pandemic, with around 3000 tweets. The tweets were related to Covid-19 and the Government from several countries such as the United States, Australia, Ireland, Switzerland, Italy, Philippines, Sri Lanka, Canada, Netherlands, United Kingdom, Germany, and Lebanon. This study aims to determine the level of public trust in the Government in the first quarter of the Covid-19 pandemic. The research result is expected to be used as a reference for the public policy stakeholders to determine future policies.

scholarly journals On the Advantages and Disadvantages of Internet Public Opinion

2021 ◽  
Vol 2 (3) ◽  
pp. 126-128
Author(s):  
Xinhua Li ◽  
Zichen Li
Keyword(s):  
Public Opinion ◽  
Opinion Leaders ◽  
The Internet ◽  
Government Officials ◽  
Traditional Media ◽  
The Public ◽  
Advantages And Disadvantages ◽  
Opening Up ◽  
Network Public Opinion

Internet public opinion is an influential and tendentious opinion or speech expressed by the public on the Internet to a certain focus, which has formed a powerful force of public opinion. Internet public opinion has become a concentrated reflection of public opinion, opening up another channel to truly reflect public opinion, and effectively promoting the supervision of government officials and their decisions. In view of the strong emotional weakness of the current network public opinion, we can train forum opinion leaders to guide the public opinion with affinity and consideration, and select and enlarge the network public opinion by connecting the traditional media.

scholarly journals Sarcasm in Sentiment Analysis of Indonesian Text: A Literature Review

2019 ◽  
Vol 13 (2) ◽  
pp. 54-59
Author(s):  
Sherly Christina
Keyword(s):  
Social Media ◽  
Literature Review ◽  
Sentiment Analysis ◽  
Classification Accuracy ◽  
Negative Polarity ◽  
Sentiment Classification ◽  
Detection Methods ◽  
The Internet ◽  
Online Groups ◽  
Internet Users

Social media, blogs and online groups become a forum that makes is easy for the Indonesian people to express their opinions, suggestions, complaints and even criticisms of a subject liberally. Sentiment analysis is a method for classifying positive, neutral, and negative polarity of the opinions that expressed by the internet users. Sarcasm is one of the challenges to classsifying the sentiments of an opinion. This research is a literature review to examine several studies to find out the methods for detecting sarcasm and to know the effect of sarcasm on the sentiment classification accuracy. The result of this literature review can be used as a reference for developing the sarcasm detection methods.

Data Detection, Tracking and Sentiment Analysis Based on Micro-Blog Data

2014 ◽  
Vol 1079-1080 ◽  
pp. 609-613
Author(s):  
Xue Mei Zhou ◽  
Yi Zhe Liu
Keyword(s):  
Information Technology ◽  
Public Opinion ◽  
Information Extraction ◽  
Sentiment Analysis ◽  
Data Detection ◽  
Extraction Technology ◽  
The Public ◽  
Opinion Analysis ◽  
Text Information ◽  
Information Media

With development of information technology and network technique, as information media micro-blog becomes more and more important. Micro-blog is noted for preeminent simple, convenient and interactivity. However with the help of micro-blog, fake information is rampant increasingly. The public opinion analysis of micro-blog data allows of no delay. This paper explicates the features of micro-blog text, and then describes text information extraction technology such as top detection, tracking in detail. The outcomes of information extraction can inform government department spot of internet public opinion in real time.

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