Audience Reaction - Explore the Science & Experts | ideXlab


Scan Science and Technology

Contact Leading Edge Experts & Companies

Audience Reaction

The Experts below are selected from a list of 1893 Experts worldwide ranked by ideXlab platform

Audience Reaction – Free Register to Access Experts & Abstracts

Ricardo Soto – One of the best experts on this subject based on the ideXlab platform.

  • facilitating analysis of Audience Reaction on social networks using content analysis a case study based on political corruption
    International Conference on Human-Computer Interaction, 2016
    Co-Authors: Stefanie Niklander, Ricardo Soto, Broderick Crawford, Claudio Leon De La Barra, Eduardo Olguin

    Abstract:

    Today, once a political corruption case takes place, it is rapidly viralized along the Internet where people can react by posting their opinions through social networks. Such Audience Reaction is clearly interesting but complex to analyze as people employs stereotypes, metaphors, and ironies expressed in an informal language hard to interpret. In this paper, we present how content analysis can help us to uncover the hidden meaning of a message. We focus here on the automated analysis of two political corruption cases and its corresponding opinions through social networks. In particular, one case involves the current government while the second one mostly involves the opposite side. Interesting results are gathered where the use of Content Analysis allows us to easily process the social network information in order to provide clear feedback.

    Free Register to Access Article

  • HCI (27) – Facilitating Analysis of Audience Reaction on Social Networks Using Content Analysis: A Case Study Based on Political Corruption
    HCI International 2016 – Posters' Extended Abstracts, 2016
    Co-Authors: Stefanie Niklander, Ricardo Soto, Broderick Crawford, Claudio Leon De La Barra, Eduardo Olguin

    Abstract:

    Today, once a political corruption case takes place, it is rapidly viralized along the Internet where people can react by posting their opinions through social networks. Such Audience Reaction is clearly interesting but complex to analyze as people employs stereotypes, metaphors, and ironies expressed in an informal language hard to interpret. In this paper, we present how content analysis can help us to uncover the hidden meaning of a message. We focus here on the automated analysis of two political corruption cases and its corresponding opinions through social networks. In particular, one case involves the current government while the second one mostly involves the opposite side. Interesting results are gathered where the use of Content Analysis allows us to easily process the social network information in order to provide clear feedback.

    Free Register to Access Article

  • towards the easy analysis of mass media Audience Reaction on social networks via discursive category tools
    International Conference on Human-Computer Interaction, 2015
    Co-Authors: Stefanie Niklander, Ricardo Soto, Broderick Crawford

    Abstract:

    The Mass Media involves information and communication products targeted to a wide Audience. Today such communications products are also available on Internet where people can react to a given information by posting critics, congratulations, opinions or whatever they want via social networks. Such Reactions are considered valuable information for instance to government and companies. However, this information is hard to automatically process as people commonly use ironies, stereotypes, metaphors expressed in informal writing plenty of chat abbreviations, emoticons, and slang words. In this paper, we illustrate how tools based on discursive categories can be used to analyze such Reactions and thus to process and understand the information behind them.

    Free Register to Access Article

Eduardo Olguin – One of the best experts on this subject based on the ideXlab platform.

  • facilitating analysis of Audience Reaction on social networks using content analysis a case study based on political corruption
    International Conference on Human-Computer Interaction, 2016
    Co-Authors: Stefanie Niklander, Ricardo Soto, Broderick Crawford, Claudio Leon De La Barra, Eduardo Olguin

    Abstract:

    Today, once a political corruption case takes place, it is rapidly viralized along the Internet where people can react by posting their opinions through social networks. Such Audience Reaction is clearly interesting but complex to analyze as people employs stereotypes, metaphors, and ironies expressed in an informal language hard to interpret. In this paper, we present how content analysis can help us to uncover the hidden meaning of a message. We focus here on the automated analysis of two political corruption cases and its corresponding opinions through social networks. In particular, one case involves the current government while the second one mostly involves the opposite side. Interesting results are gathered where the use of Content Analysis allows us to easily process the social network information in order to provide clear feedback.

    Free Register to Access Article

  • HCI (27) – Facilitating Analysis of Audience Reaction on Social Networks Using Content Analysis: A Case Study Based on Political Corruption
    HCI International 2016 – Posters' Extended Abstracts, 2016
    Co-Authors: Stefanie Niklander, Ricardo Soto, Broderick Crawford, Claudio Leon De La Barra, Eduardo Olguin

    Abstract:

    Today, once a political corruption case takes place, it is rapidly viralized along the Internet where people can react by posting their opinions through social networks. Such Audience Reaction is clearly interesting but complex to analyze as people employs stereotypes, metaphors, and ironies expressed in an informal language hard to interpret. In this paper, we present how content analysis can help us to uncover the hidden meaning of a message. We focus here on the automated analysis of two political corruption cases and its corresponding opinions through social networks. In particular, one case involves the current government while the second one mostly involves the opposite side. Interesting results are gathered where the use of Content Analysis allows us to easily process the social network information in order to provide clear feedback.

    Free Register to Access Article

Stefanie Niklander – One of the best experts on this subject based on the ideXlab platform.

  • facilitating analysis of Audience Reaction on social networks using content analysis a case study based on political corruption
    International Conference on Human-Computer Interaction, 2016
    Co-Authors: Stefanie Niklander, Ricardo Soto, Broderick Crawford, Claudio Leon De La Barra, Eduardo Olguin

    Abstract:

    Today, once a political corruption case takes place, it is rapidly viralized along the Internet where people can react by posting their opinions through social networks. Such Audience Reaction is clearly interesting but complex to analyze as people employs stereotypes, metaphors, and ironies expressed in an informal language hard to interpret. In this paper, we present how content analysis can help us to uncover the hidden meaning of a message. We focus here on the automated analysis of two political corruption cases and its corresponding opinions through social networks. In particular, one case involves the current government while the second one mostly involves the opposite side. Interesting results are gathered where the use of Content Analysis allows us to easily process the social network information in order to provide clear feedback.

    Free Register to Access Article

  • HCI (27) – Facilitating Analysis of Audience Reaction on Social Networks Using Content Analysis: A Case Study Based on Political Corruption
    HCI International 2016 – Posters' Extended Abstracts, 2016
    Co-Authors: Stefanie Niklander, Ricardo Soto, Broderick Crawford, Claudio Leon De La Barra, Eduardo Olguin

    Abstract:

    Today, once a political corruption case takes place, it is rapidly viralized along the Internet where people can react by posting their opinions through social networks. Such Audience Reaction is clearly interesting but complex to analyze as people employs stereotypes, metaphors, and ironies expressed in an informal language hard to interpret. In this paper, we present how content analysis can help us to uncover the hidden meaning of a message. We focus here on the automated analysis of two political corruption cases and its corresponding opinions through social networks. In particular, one case involves the current government while the second one mostly involves the opposite side. Interesting results are gathered where the use of Content Analysis allows us to easily process the social network information in order to provide clear feedback.

    Free Register to Access Article

  • towards the easy analysis of mass media Audience Reaction on social networks via discursive category tools
    International Conference on Human-Computer Interaction, 2015
    Co-Authors: Stefanie Niklander, Ricardo Soto, Broderick Crawford

    Abstract:

    The Mass Media involves information and communication products targeted to a wide Audience. Today such communications products are also available on Internet where people can react to a given information by posting critics, congratulations, opinions or whatever they want via social networks. Such Reactions are considered valuable information for instance to government and companies. However, this information is hard to automatically process as people commonly use ironies, stereotypes, metaphors expressed in informal writing plenty of chat abbreviations, emoticons, and slang words. In this paper, we illustrate how tools based on discursive categories can be used to analyze such Reactions and thus to process and understand the information behind them.

    Free Register to Access Article