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The dissemination effect of human-computer interactive advertising news—Using the theory of media audience and emotion management
The development and application of network media has seriously impacted the social information dissemination environment dominated by traditional media. To break the dissemination barriers encountered by traditional media, this work probes into the dissemination effect of human-computer interactive...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372406/ https://www.ncbi.nlm.nih.gov/pubmed/35967684 http://dx.doi.org/10.3389/fpsyg.2022.959732 |
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author | Xu, Zhu Zhang, Chuanbin |
author_facet | Xu, Zhu Zhang, Chuanbin |
author_sort | Xu, Zhu |
collection | PubMed |
description | The development and application of network media has seriously impacted the social information dissemination environment dominated by traditional media. To break the dissemination barriers encountered by traditional media, this work probes into the dissemination effect of human-computer interactive advertising news. An in-depth analysis of the current dissemination situation of interactive online advertising (IOA) is firstly conducted, and then the methods to effectively guide and manage audience emotions are studied. Finally, an improved LeNet-5 model is established to identify audience emotions. The improvement of the LeNet-5 model in this work is composed of the following four points. (1) The convolution module sets Inception_conv3 and Inception_conv5 are adopted to replace the third convolutional layer Conv3 and the fifth layer Conv5 of the LeNet-5, respectively. (2) The size of the convolution kernel is changed. The original convolution kernel is replaced by two 3 × 3 convolution kernels in the Inception_conv3 and Inception_conv5 module sets. (3) The number of convolution kernels is reasonably changed. (4) The Batch Normalization (BN) layer is used. The experimental results show that interactive advertisements have the better dissemination effects among the audiences with older age, higher education, and in more developed cities. The improved LeNet-5 network can effectively solve the over-fitting and gradient disappearance, with a good robustness. The recognition rate reaches more than 81%, which is higher than the traditional LeNet-5 network by 3%. It can be known that the accuracy of the improved LeNet-5 network image recognition is significantly promoted. This research provides a certain reference for the optimization of news dissemination. |
format | Online Article Text |
id | pubmed-9372406 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93724062022-08-13 The dissemination effect of human-computer interactive advertising news—Using the theory of media audience and emotion management Xu, Zhu Zhang, Chuanbin Front Psychol Psychology The development and application of network media has seriously impacted the social information dissemination environment dominated by traditional media. To break the dissemination barriers encountered by traditional media, this work probes into the dissemination effect of human-computer interactive advertising news. An in-depth analysis of the current dissemination situation of interactive online advertising (IOA) is firstly conducted, and then the methods to effectively guide and manage audience emotions are studied. Finally, an improved LeNet-5 model is established to identify audience emotions. The improvement of the LeNet-5 model in this work is composed of the following four points. (1) The convolution module sets Inception_conv3 and Inception_conv5 are adopted to replace the third convolutional layer Conv3 and the fifth layer Conv5 of the LeNet-5, respectively. (2) The size of the convolution kernel is changed. The original convolution kernel is replaced by two 3 × 3 convolution kernels in the Inception_conv3 and Inception_conv5 module sets. (3) The number of convolution kernels is reasonably changed. (4) The Batch Normalization (BN) layer is used. The experimental results show that interactive advertisements have the better dissemination effects among the audiences with older age, higher education, and in more developed cities. The improved LeNet-5 network can effectively solve the over-fitting and gradient disappearance, with a good robustness. The recognition rate reaches more than 81%, which is higher than the traditional LeNet-5 network by 3%. It can be known that the accuracy of the improved LeNet-5 network image recognition is significantly promoted. This research provides a certain reference for the optimization of news dissemination. Frontiers Media S.A. 2022-07-29 /pmc/articles/PMC9372406/ /pubmed/35967684 http://dx.doi.org/10.3389/fpsyg.2022.959732 Text en Copyright © 2022 Xu and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Xu, Zhu Zhang, Chuanbin The dissemination effect of human-computer interactive advertising news—Using the theory of media audience and emotion management |
title | The dissemination effect of human-computer interactive advertising news—Using the theory of media audience and emotion management |
title_full | The dissemination effect of human-computer interactive advertising news—Using the theory of media audience and emotion management |
title_fullStr | The dissemination effect of human-computer interactive advertising news—Using the theory of media audience and emotion management |
title_full_unstemmed | The dissemination effect of human-computer interactive advertising news—Using the theory of media audience and emotion management |
title_short | The dissemination effect of human-computer interactive advertising news—Using the theory of media audience and emotion management |
title_sort | dissemination effect of human-computer interactive advertising news—using the theory of media audience and emotion management |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372406/ https://www.ncbi.nlm.nih.gov/pubmed/35967684 http://dx.doi.org/10.3389/fpsyg.2022.959732 |
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