The Experts below are selected from a list of 16968 Experts worldwide ranked by ideXlab platform
Jana Diesner - One of the best experts on this subject based on the ideXlab platform.
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classification and detection of micro level impact of issue focused Documentary Films based on reviews
2017Co-Authors: Rezvaneh Rezapour, Jana DiesnerAbstract:We present novel research at the intersection of review mining and impact assessment of issue-focused information products, namely Documentary Films. We develop and evaluate a theoretically grounded classification schema, related codebook, corpus annotation, and prediction model for detecting multiple types of impact that documentaries can have on individuals, such as change versus reaffirmation of behavior, cognition, and emotions, based on user-generated content, i.e., reviews. This work broadens the scope of review mining tasks, which typically comprise the prediction of ratings, helpfulness, and opinions. Our results suggest that documentaries can change or reinforce peoples' conception of an issue. We perform supervised learning to predict impact on the sentence level by using data driven as well as predefined linguistic, lexical, and psychological features; achieving an accuracy rate of 81% (F1) when using a Random Forest classifier, and 73% with a Support Vector Machine.
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says who identification of expert versus layman critics reviews of Documentary Films
2016Co-Authors: Ming Jiang, Jana DiesnerAbstract:We extend classic review mining work by building a binary classifier that predicts whether a review of a Documentary film was written by an expert or a layman with 90.70% accuracy (F1 score), and compare the characteristics of the predicted classes. A variety of standard lexical and syntactic features was used for this supervised learning task. Our results suggest that experts write comparatively lengthier and more detailed reviews that feature more complex grammar and a higher diversity in their vocabulary. Layman reviews are more subjective and contextualized in peoples’ everyday lives. Our error analysis shows that laymen are about twice as likely to be mistaken as experts than vice versa. We argue that the type of author might be a useful new feature for improving the accuracy of predicting the rating, helpfulness and authenticity of reviews. Finally, the outcomes of this work might help researchers and practitioners in the field of impact assessment to gain a more fine-grained understanding of the perception of different types of media consumers and reviewers of a topic, genre or information product.
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assessing public awareness of social justice Documentary Films based on news coverage versus social media
2016Co-Authors: Jana Diesner, Rezvaneh Rezapour, Ming JiangAbstract:The comprehensive measurement of the impact that information products have on individuals, groups and society is of practical relevance to many actors, including philanthropic funding organizations. In this paper we focus on assessing one dimension of impact, namely public awareness, which we conceptualize as the amount and substance of attention that information products gain from the press and social media. We are looking at a type of products that philanthropic organizations fund, namely social justice documentaries. Using topic modeling as a text summarization technique, we find that Films from certain domains, such as “Politics and Government” and “Environment and Nature,” attract more attention than productions on others, such as “Gender and Ethnicity”. We also observe that film-related public discourse on social media (Facebook and non-expert reviews) has a higher overlap with the content of a film than press coverage of Films does. This is partially due to the fact that social media users focus more on the topics of a production whereas the press pays strong attention to cinematographic and related features.
Anna Matamala - One of the best experts on this subject based on the ideXlab platform.
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post editing wildlife Documentary Films
2016Co-Authors: Carla Ortiz Boix, Anna MatamalaAbstract:Several studies have proven that, when machine translation followed by post-editing is used to translate general and specialised texts, there is an increase in the productivity, as the post-editing effort is lower than translating ex novo. Although the use of machine translation and post-editing has been investigated in Audiovisual Translation, this has never been researched in non-fictional audiovisual genres in which voice-over and off-screen dubbing are applied. Using an English wildlife Documentary film as the source text, and Spanish as the target language, this study intends to research whether post-editing involves more or less effort than translating a Documentary. Conclusions on the experiment described in this article, in which 12 Audiovisual Translation MA students took part, seem to indicate that post-editing involves less effort than translating
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post editing wildlife Documentary Films a new possible scenario
2016Co-Authors: Carla Ortizboix, Anna MatamalaAbstract:Several studies have proven that, when machine translation followed by post-editing is used to translate general and specialised texts, there is an increase in the productivity, as the post-editing effort is lower than translating ex novo. Although the use of machine translation and post-editing has been investigated in Audiovisual Translation, this has never been researched in non-fictional audiovisual genres in which voice-over and off-screen dubbing are applied. Using an English wildlife Documentary film as the source text, and Spanish as the target language, this study intends to research whether post-editing involves more or less effort than translating a Documentary. Conclusions on the experiment described in this article, in which 12 Audiovisual Translation MA students took part, seem to indicate that post-editing involves less effort than translating
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quality assessment of post edited versus translated wildlife Documentary Films
2015Co-Authors: Carla Ortizboix, Anna MatamalaAbstract:This article presents the results of a study designed to evaluate the quality of post-edited wildlife Documentary Films (in comparison to translated) which are delivered using voiceover and off-screen dubbing. The study proposes a quality assessment at three levels: experts’ assessment, dubbing studio’s assessment and end-users’ assessment. The main contribution of this quality assessment proposal is the inclusion of end-users in the process of assessing the quality of post-edited and translated audiovisual texts. Results show that there is no meaningful difference between the quality of post-edited and translated wildlife Documentary Films, although translations perform better in certain aspects
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quality assessment of post edited versus translated wildlife Documentary Films a three level approach
2015Co-Authors: Carla Ortiz Boix, Anna MatamalaAbstract:This article presents the results of a study designed to evaluate the quality of post-edited wildlife Documentary Films (in comparison to translated) which are delivered using voiceover and off-screen dubbing. The study proposes a quality assessment at three levels: experts' assessment, dubbing studio's assessment and end-users' assessment. The main contribution of this quality assessment proposal is the inclusion of end-users in the process of assessing the quality of post-edited and translated audiovisual texts. Results show that there is no meaningful difference between the quality of post-edited and translated wildlife Documentary Films, although translations perform better in certain aspects
Ming Jiang - One of the best experts on this subject based on the ideXlab platform.
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says who identification of expert versus layman critics reviews of Documentary Films
2016Co-Authors: Ming Jiang, Jana DiesnerAbstract:We extend classic review mining work by building a binary classifier that predicts whether a review of a Documentary film was written by an expert or a layman with 90.70% accuracy (F1 score), and compare the characteristics of the predicted classes. A variety of standard lexical and syntactic features was used for this supervised learning task. Our results suggest that experts write comparatively lengthier and more detailed reviews that feature more complex grammar and a higher diversity in their vocabulary. Layman reviews are more subjective and contextualized in peoples’ everyday lives. Our error analysis shows that laymen are about twice as likely to be mistaken as experts than vice versa. We argue that the type of author might be a useful new feature for improving the accuracy of predicting the rating, helpfulness and authenticity of reviews. Finally, the outcomes of this work might help researchers and practitioners in the field of impact assessment to gain a more fine-grained understanding of the perception of different types of media consumers and reviewers of a topic, genre or information product.
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assessing public awareness of social justice Documentary Films based on news coverage versus social media
2016Co-Authors: Jana Diesner, Rezvaneh Rezapour, Ming JiangAbstract:The comprehensive measurement of the impact that information products have on individuals, groups and society is of practical relevance to many actors, including philanthropic funding organizations. In this paper we focus on assessing one dimension of impact, namely public awareness, which we conceptualize as the amount and substance of attention that information products gain from the press and social media. We are looking at a type of products that philanthropic organizations fund, namely social justice documentaries. Using topic modeling as a text summarization technique, we find that Films from certain domains, such as “Politics and Government” and “Environment and Nature,” attract more attention than productions on others, such as “Gender and Ethnicity”. We also observe that film-related public discourse on social media (Facebook and non-expert reviews) has a higher overlap with the content of a film than press coverage of Films does. This is partially due to the fact that social media users focus more on the topics of a production whereas the press pays strong attention to cinematographic and related features.
Michael Donaldson - One of the best experts on this subject based on the ideXlab platform.
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reply comments of international Documentary association et al in the matter of preserving the open internet broadband industry practices no 09 191 federal communications commission 2010
2010Co-Authors: Jack I Lerner, Michael DonaldsonAbstract:Comment on behalf of several filmmaker organizations in open internet rulemaking. Summary: The Internet must remain open if there is to be a future for independent and Documentary film. In recent years, the open architecture of the Internet has revolutionized independent and Documentary film: it has fostered the development of new and innovative promotion and distribution channels, provided unprecedented access to rich source material, and made self-distribution of independent and Documentary film feasible for the first time ever. To preserve the Internet as the preeminent platform for independent and Documentary Films, and the diverse, creative, and often marginalized voices they bring to light, the Commission must promulgate clear and meaningful open Internet rules. As written, however, the proposed rules contain significant flaws that will undermine this objective and erect the same barriers to entry online that afflict Documentary and independent filmmakers offline.Co-counsel: Michael C. Donaldson
Rezvaneh Rezapour - One of the best experts on this subject based on the ideXlab platform.
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classification and detection of micro level impact of issue focused Documentary Films based on reviews
2017Co-Authors: Rezvaneh Rezapour, Jana DiesnerAbstract:We present novel research at the intersection of review mining and impact assessment of issue-focused information products, namely Documentary Films. We develop and evaluate a theoretically grounded classification schema, related codebook, corpus annotation, and prediction model for detecting multiple types of impact that documentaries can have on individuals, such as change versus reaffirmation of behavior, cognition, and emotions, based on user-generated content, i.e., reviews. This work broadens the scope of review mining tasks, which typically comprise the prediction of ratings, helpfulness, and opinions. Our results suggest that documentaries can change or reinforce peoples' conception of an issue. We perform supervised learning to predict impact on the sentence level by using data driven as well as predefined linguistic, lexical, and psychological features; achieving an accuracy rate of 81% (F1) when using a Random Forest classifier, and 73% with a Support Vector Machine.
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assessing public awareness of social justice Documentary Films based on news coverage versus social media
2016Co-Authors: Jana Diesner, Rezvaneh Rezapour, Ming JiangAbstract:The comprehensive measurement of the impact that information products have on individuals, groups and society is of practical relevance to many actors, including philanthropic funding organizations. In this paper we focus on assessing one dimension of impact, namely public awareness, which we conceptualize as the amount and substance of attention that information products gain from the press and social media. We are looking at a type of products that philanthropic organizations fund, namely social justice documentaries. Using topic modeling as a text summarization technique, we find that Films from certain domains, such as “Politics and Government” and “Environment and Nature,” attract more attention than productions on others, such as “Gender and Ethnicity”. We also observe that film-related public discourse on social media (Facebook and non-expert reviews) has a higher overlap with the content of a film than press coverage of Films does. This is partially due to the fact that social media users focus more on the topics of a production whereas the press pays strong attention to cinematographic and related features.
