Internet content propagation index-based text travel and explosion identification method and medium

Abstract

The invention discloses an internet content propagation index-based text travel and explosion identification method and a medium, and aims to solve the problems of one-sided data, inaccurate evaluation and lack of dynamic tracking in the prior art. The method comprises the following steps: data acquisition: acquiring data related to text travel items from a plurality of social media platforms and mainstream media; the data comprises account information, program content data for issuing related travel IP and operation data; identifying the text travel IP; data standardization processing: carrying out standardization processing on the collected data; calculating a comprehensive index: according to the standardized data, combining a preset weight, and calculating an Internet content propagation index of the text travel project; and dynamic monitoring: carrying out time axis curve analysis by periodically evaluating an internet content propagation index, focusing on data with singular values, and adjusting a text travel and explosion cultivation strategy according to the data. The method effectively solves the problems of one-sided data, inaccurate evaluation and lack of dynamic tracking.

Description

Technical Field

[0001] The present application relates to the field of Internet content technology, and in particular to a method for evaluating Internet content. Background Art

[0002] The existing evaluation process is as follows: (1) Identify cultural tourism projects and carry out traditional marketing, offline advertising, travel agency cooperation, etc., as well as Internet marketing, such as social media and online travel platform promotion; (2) Collect offline feedback from tourists (questionnaires, interviews) and online data (platform data, public opinion monitoring, etc.); (3) Evaluate the performance of cultural tourism IP based on experience and limited data.

[0003] The problems with current evaluation methods are: (1) One-sided data: Online data monitoring is mainly concentrated on a few popular platforms and cannot cover the entire network data; offline feedback samples are limited and cannot represent the views of all tourists. (2) Inaccurate evaluation: Relying on subjective experience and limited data, there is a lack of a scientific and systematic evaluation system. For example, it is difficult to comprehensively measure the performance of cultural and tourism projects in different dimensions based only on tourist feedback and simple platform data. (3) Lack of dynamic tracking: It is impossible to track the development and changes of cultural and tourism projects at different stages in real time and adjust the evaluation strategy in a timely manner. For example, when a cultural and tourism project changes in popularity due to an unexpected event, it cannot be captured and analyzed in a timely manner. Summary of the Invention

[0004] This application provides a method and medium for identifying popular cultural and tourism products based on the Internet content dissemination index, aiming to solve the problems of one-sided data, inaccurate evaluation, and lack of dynamic tracking in existing technologies.

[0005] First, a method for identifying popular cultural and tourism products based on the Internet content dissemination index is provided, including:

[0006] Data collection: Collect data related to cultural tourism projects from multiple social media platforms and mainstream media, including account information, program content data of relevant cultural tourism IPs, and operational data;

[0007] Cultural and tourism IP identification: By building an entity identification engine, we can identify cultural and tourism entities of different formats and conduct in-depth collection of program or article data related to cultural and tourism entities as the basis for subsequent analysis;

[0008] Data standardization: The collected data are standardized, including: using the natural logarithm function for dimensional normalization, and using the maximum and minimum normalization method to normalize the data to the [0,1] interval;

[0009] Calculate comprehensive indicators: Based on the standardized data and combined with preset weights, calculate the Internet content dissemination index of the cultural tourism project. The Internet content dissemination index includes the number of posts, the number of posting accounts, the number of active days of the topic, and the average number of interactions per post;

[0010] Dynamic monitoring: By periodically evaluating the Internet content dissemination index and conducting timeline curve analysis, we focus on data with singular values, and adjust the strategy for cultivating popular cultural and tourism products accordingly.

[0011] In the above solution, optionally, the formula for dimension normalization using the natural logarithm function is:

[0012] y=ln(x+1)

[0013] Where x represents the original data, that is, the unprocessed indicator values ​​collected, such as the number of likes, comments, and posts; y represents the data processed by the natural logarithm function, which is used for dimensional normalization and to eliminate the influence of singular values;

[0014] The formula for normalizing the data to the [0,1] interval using the maximum and minimum normalization method is:

[0015] z=(y-min(y)) / (max(y)-min(y))

[0016] Where z represents the data after maximum and minimum normalization processing, and the y value is standardized to the interval [0,1] to facilitate subsequent comprehensive evaluation.

[0017] In the above solution, optionally, the cultural and tourism IP identification also includes: discovering relevant content of the same cultural and tourism IP in different channels by building a multi-rule IP identification and analysis engine.

[0018] In the above scheme, optionally, in the cultural tourism IP identification step, the subject identification engine identifies topic effects by identifying topic tag information in social media, and identifies cultural tourism IP content through text manuscripts or video content in mainstream media.

[0019] In the above scheme, optionally, in the step of calculating the comprehensive index, by assigning points to the importance of the platform, a multi-dimensional assessment is conducted from the number of publications, the number of publishing accounts, the number of active days of the topic, and the average number of interactions per article. Among them, the number of publications reflects the exposure of the operating IP on the social platform; the number of accounts involved in the published topic reflects the breadth of participation in the dissemination; the number of active days of the topic reflects the sustainability of the operating IP; and the average number of interactions per article reflects the objective data of the dissemination of the published content.

[0020] In the above scheme, optionally, the indicators of number of posts, number of posting accounts, number of active days of a topic, and average number of interactions per article all include cultural and tourism accounts and ordinary users to avoid alienation of assessment and evaluation indicators.

[0021] In the above scheme, optionally, in the dynamic monitoring step, the timeline curve analysis includes analyzing the changing trend of the Internet content dissemination index over time to determine the dissemination effect and development trend of the cultural tourism project.

[0022] In the above scheme, optionally, the dynamic monitoring step also includes analyzing the causes of the data with singular values, and adjusting the cultural and tourism hot-selling product cultivation strategy based on the analysis results.

[0023] Secondly, a popular cultural and tourism product evaluation system based on the Internet content dissemination index is provided, including:

[0024] Data collection module: used to collect data related to cultural tourism projects from multiple social media platforms and mainstream media, including account information, program content data of related cultural tourism IPs, and operational data;

[0025] Cultural and tourism IP identification module: used to identify cultural and tourism entities of different formats and conduct in-depth collection of program or article data related to cultural and tourism entities;

[0026] Data standardization processing module: used to standardize the collected data;

[0027] Calculation of comprehensive indicators module: used to calculate the Internet content dissemination index of cultural tourism projects based on standardized data and preset weights;

[0028] Dynamic monitoring module: used to periodically evaluate the Internet content dissemination index, conduct timeline curve analysis, and focus on data with singular values.

[0029] According to a third aspect, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0030] Compared with the prior art, this application has at least the following beneficial effects:

[0031] This application is based on further analysis and research of existing technical issues and recognizes that the existing technical data is one-sided due to the lack of efficient data collection technology and comprehensive data collection planning; the evaluation is inaccurate because there is no multi-dimensional and quantitative evaluation index, which cannot accurately reflect the actual communication effect and market influence of the project; the lack of dynamic tracking is because the existing evaluation method does not establish a real-time dynamic monitoring and analysis mechanism. This application has the following advantages:

[0032] (1) This application collects data from multiple social media platforms and mainstream media, covering various types of data, including account information, program content data of relevant cultural and tourism IPs, and operational data. Compared with a single data source, this multi-channel and multi-dimensional data collection method can more comprehensively reflect the dissemination of cultural and tourism projects on different platforms, effectively solving the problem of one-sided data. For example, social media platform data can reflect the real-time feedback and popularity of the public, while mainstream media data can reflect the authoritative dissemination effect. The combination of the two makes the data richer and more comprehensive.

[0033] (2) This application uses data standardization processing, including using the natural logarithm function for dimensional normalization and the maximum and minimum normalization method to standardize the data to the [0,1] interval. This processing method can eliminate the impact of dimensional and order of magnitude differences between different data indicators, allowing data to be compared on the same scale. At the same time, the Internet content dissemination index of cultural and tourism projects is calculated in combination with preset weights, taking into account multiple key indicators such as the number of releases, the number of release accounts, the number of active days of the topic, and the average number of interactions per article. Compared with single indicator evaluation, this comprehensive evaluation method can more accurately measure the dissemination effect of cultural and tourism projects, thereby solving the problem of inaccurate evaluation.

[0034] (3) This application periodically evaluates the Internet content dissemination index and conducts timeline curve analysis, focusing on data with singular values. This dynamic monitoring mechanism can track the changing trend of the cultural and tourism project dissemination index in real time and detect abnormal situations in a timely manner. For example, if the dissemination index of a cultural and tourism project suddenly drops or rises sharply within a certain period of time, the problem can be quickly located through timeline curve analysis, and the cultural and tourism hot-selling product cultivation strategy can be adjusted accordingly. This shows that the solution has solved the problem of lack of dynamic tracking very well, and can dynamically adjust the strategy based on real-time data to optimize the dissemination effect of cultural and tourism projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 A flowchart of a method for identifying popular cultural and tourism products based on the Internet content dissemination index is provided as an embodiment of the present application.

[0036] Figure 2 A schematic diagram of the overall process of the Internet content dissemination index of cultural and tourism products provided for one embodiment of the present application.

[0037] Figure 3 A module architecture diagram of a popular cultural and tourism product evaluation system based on the Internet content dissemination index is provided for one embodiment of the present application. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0039] In the description of the present application, unless otherwise specified, expressions such as “include”, “comprising”, “having”, etc. also mean “not limited to” (certain units, components, materials, steps, etc.).

[0040] In one embodiment, Figure 1 As shown, a method for identifying popular cultural and tourism products based on the Internet content dissemination index is provided, including:

[0041] Data collection: Collect data related to cultural tourism projects from multiple social media platforms and mainstream media, including account information, program content data of relevant cultural tourism IPs, and operational data;

[0042] Cultural and tourism IP identification: By building an entity identification engine, we can identify cultural and tourism entities of different formats and conduct in-depth collection of program or article data related to cultural and tourism entities as the basis for subsequent analysis;

[0043] Data standardization: The collected data are standardized, including: using the natural logarithm function for dimensional normalization, and using the maximum and minimum normalization method to normalize the data to the [0,1] interval;

[0044] Calculate comprehensive indicators: Based on the standardized data and combined with preset weights, calculate the Internet content dissemination index of the cultural tourism project. The Internet content dissemination index includes the number of posts, the number of posting accounts, the number of active days of the topic, and the average number of interactions per post;

[0045] Dynamic monitoring: By periodically evaluating the Internet content dissemination index and conducting timeline curve analysis, we focus on data with singular values, and adjust the strategy for cultivating popular cultural and tourism products accordingly.

[0046] In this embodiment, based on the actual situation of the promotion channels of cultural tourism products, social media and mainstream media communication data are used for comprehensive analysis to construct the cultural tourism product network communication index (i.e., the cultural tourism product Internet content communication index). The overall process of the cultural tourism product Internet content communication index is collection, analysis, and evaluation. Figure 2 As shown:

[0047] Selection of data sources: The online dissemination data of cultural and tourism products comes from social media such as Douyin, Xiaohongshu, WeChat Video Account, Weibo and Kuaishou. Mainstream media include provincial and above media such as People's Daily, Xinhua News Agency, Chao News Client, and China Blue News. Based on the names of cultural and tourism "hot products" operated by cultural and tourism units (operating IP), the online content data of the five major social media and mainstream media related IP themes are obtained, and evaluated based on the content dissemination volume to form the Internet content dissemination index.

[0048] Identifying cultural and tourism IP: To effectively identify popular cultural and tourism themes posted on major social media platforms, we built a subject recognition engine to identify cultural and tourism subjects in various formats. We then conduct in-depth data collection on programs or articles related to these subjects, serving as a foundation for subsequent analysis. For example, we use the "#" symbol to identify topic-like effects. Mainstream media articles with explicit cultural and tourism IP content, or video content, will contain cultural and tourism IP content in the video title or text. By building a multi-rule IP recognition and analysis engine, we can discover related content from the same cultural and tourism IP across different channels.

[0049] Data collection: Collect account information of the monitored objects, publish program content data of relevant cultural and tourism IPs, operational data, etc.

[0050] Construction of data analysis and evaluation model: After extracting the content published by each media account and identifying the scenic spots and related IP names, a comprehensive evaluation can be conducted based on indicators such as the number of content theme publications, the number of accounts involved, and the number of days the theme is published (calculation of comprehensive indicators).

[0051] Scoring is based on the importance of the platform, with assessments conducted across metrics such as number of posts, number of accounts posting, number of active days on a topic, and average interactions per post (likes, comments, and reposts on selected channels). The number of posts reflects the exposure of the IP on social platforms; the number of accounts involved in a post reflects the breadth of its dissemination; the number of active days on a topic reflects the sustainability of the IP; and the average interaction per post provides objective data on the dissemination of the content. These metrics include both cultural and tourism accounts and ordinary users, which can help to mitigate the sparseness of assessment and evaluation metrics.

[0052] In the calculation scheme, the natural logarithm function is used for dimensional normalization to solve the influence of singular values ​​on the overall data, namely:

[0053] y=ln(x+1)

[0054] After logarithmic transformation, the maximum and minimum normalization is used to standardize the data using the maximum and minimum values ​​in the column. The standardized value is between [0, 1]. The calculation method is to take the difference between the data and the minimum value of the column and divide it by the range, that is:

[0055] z=(y-min(y)) / (max(y)-min(y))

[0056] After standardization, the corresponding index score can be obtained by multiplying the weighted scores.

[0057] Data monitoring: Through periodic evaluation indexes, conduct timeline curve analysis, and pay close attention to any singular values ​​in the data. Adjust the strategy for cultivating popular cultural and tourism products.

[0058] This application collects account information, program content data and operation data related to cultural and tourism projects from multiple social media platforms and mainstream media, builds a subject recognition engine to identify cultural and tourism subjects in different formats and deeply collects related data, uses the natural logarithm function and the maximum and minimum normalization method to standardize the collected data, and calculates the Internet content dissemination index of cultural and tourism projects (including the number of releases, the number of release accounts, the number of active days of the theme, and the average number of interactions per article) based on preset weights, and periodically evaluates the Internet content dissemination index to perform timeline curve analysis, pay attention to singular values ​​and adjust the cultural and tourism hot-selling cultivation strategy, so as to achieve the effect of accurately evaluating cultural and tourism hot-selling products and dynamically optimizing the cultivation strategy.

[0059] In one embodiment, the formula for dimension normalization using the natural logarithm function is:

[0060] y=ln(x+1)

[0061] Where x represents the original data, that is, the unprocessed indicator values ​​collected, such as the number of likes, comments, and posts; y represents the data processed by the natural logarithm function, which is used for dimensional normalization and to eliminate the influence of singular values;

[0062] The formula for normalizing the data to the [0,1] interval using the maximum and minimum normalization method is:

[0063] z=(y-min(y)) / (max(y)-min(y))

[0064] Where z represents the data after maximum and minimum normalization processing, and the y value is standardized to the interval [0,1] to facilitate subsequent comprehensive evaluation.

[0065] In this embodiment, a multi-dimensional evaluation model is constructed:

[0066] Comprehensive multi-metric evaluation: After extracting content published by various media accounts and identifying scenic spots and related IP names, a comprehensive evaluation is conducted based on indicators such as the number of posts on the content theme, the number of accounts involved, and the number of days the theme has been published. This evaluation is based on metrics such as the number of posts, the number of accounts publishing, the number of days the theme is active, and the average number of interactions per post. These indicators cover both cultural and tourism accounts and ordinary users.

[0067] Data standardization: First, use the natural logarithm function y=ln(x+1) to perform dimension normalization to eliminate the influence of singular values; then use maximum and minimum normalization to standardize the data to the interval [0,1], the formula is z=(y-min(y)) / (max(y)-min(y)), and finally calculate the corresponding item index score by multiplying the weight score.

[0068] In one embodiment, a multi-source data collection model uses social media platforms such as Douyin, Xiaohongshu, WeChat Video Account, Weibo, and Kuaishou, as well as mainstream media outlets at the provincial level and above, such as People's Daily and Xinhua News Agency. Based on the names of popular cultural and tourism products (operating IPs), data on the entire internet for related IP themes on these platforms is collected, and an internet content dissemination index is generated based on the amount of content dissemination.

[0069] In one embodiment, the cultural and tourism IP identification also includes: discovering relevant content of the same cultural and tourism IP in different channels by building a multi-rule IP identification and analysis engine.

[0070] In this embodiment, by building a multi-rule IP identification and analysis engine to discover relevant content related to the same cultural and tourism IP across different channels, the accuracy of cultural and tourism IP identification can be significantly improved, the comprehensiveness of data collection can be enhanced, the evaluation of the dissemination effect of cultural and tourism IP can be improved, the cultivation strategy of cultural and tourism IP can be optimized, and the adaptability and flexibility of the system can be enhanced. These effects work together to provide stronger support for the accurate evaluation and effective cultivation of cultural and tourism IP.

[0071] In one embodiment, in the cultural and tourism IP identification step, the subject identification engine identifies topic effects by identifying topic tag information in social media, and identifies cultural and tourism IP content through text manuscripts or video content in mainstream media.

[0072] In this embodiment, by combining the topic tag information of social media and the text manuscripts or video content of mainstream media in the cultural and tourism IP identification step, multi-dimensional cultural and tourism IP identification can be achieved, the accuracy and comprehensiveness of identification can be improved, the evaluation of the dissemination effect of cultural and tourism IP can be enhanced, the cultivation strategy of cultural and tourism IP can be optimized, and the adaptability and flexibility of the system can be enhanced.

[0073] In one embodiment, in the step of calculating the comprehensive index, the importance of the platform is scored, and a multi-dimensional assessment is conducted based on the number of publications, the number of publishing accounts, the number of active days of the topic, and the average number of interactions per article. Among them, the number of publications reflects the exposure of the operating IP on the social platform; the number of accounts involved in the published topic reflects the breadth of participation in the dissemination; the number of active days of the topic reflects the sustainability of the operating IP; and the average number of interactions per article reflects the objective data of the dissemination of the published content.

[0074] In this embodiment, by combining the platform importance score in the step of calculating the comprehensive index, and evaluating from multiple dimensions such as the number of publications, the number of publishing accounts, the number of active days of the topic, and the average number of interactions per article, the communication effect of the cultural and tourism IP can be comprehensively and accurately evaluated.

[0075] In one embodiment, the indicators of number of posts, number of posting accounts, number of active days of a topic, and average number of interactions per article all include cultural and tourism accounts and ordinary users to avoid alienation of assessment and evaluation indicators.

[0076] In one embodiment, in the dynamic monitoring step, the timeline curve analysis includes analyzing the changing trend of the Internet content dissemination index over time to determine the dissemination effect and development trend of the cultural tourism project.

[0077] In one embodiment, the dynamic monitoring step also includes analyzing the causes of the data with singular values, and adjusting the cultural and tourism hot product cultivation strategy based on the analysis results.

[0078] In this embodiment, the index is evaluated periodically and a timeline curve analysis is performed, with special attention paid to data with singular values, and the strategy for cultivating popular cultural and tourism products is adjusted accordingly.

[0079] During the dynamic monitoring step, the changing trends of the Internet Content Dissemination Index are analyzed through timeline curves. The causes of singular values ​​are analyzed and the strategies for cultivating popular cultural tourism products are adjusted accordingly. This allows for accurate evaluation and dynamic optimization of the dissemination effects of cultural tourism projects. This mechanism can help cultural tourism projects promptly identify and resolve dissemination issues, improve their overall dissemination effectiveness and market competitiveness, and ensure sustainable development in an ever-changing market environment.

[0080] In one embodiment, reference Figure 3 , provides a hot travel product evaluation system based on the Internet content dissemination index, including:

[0081] Data collection module: used to collect data related to cultural tourism projects from multiple social media platforms and mainstream media, including account information, program content data of related cultural tourism IPs, and operational data;

[0082] Cultural and tourism IP identification module: used to identify cultural and tourism entities of different formats and conduct in-depth collection of program or article data related to cultural and tourism entities;

[0083] Data standardization processing module: used to standardize the collected data;

[0084] Calculation of comprehensive indicators module: used to calculate the Internet content dissemination index of cultural tourism projects based on standardized data and preset weights;

[0085] Dynamic monitoring module: used to periodically evaluate the Internet content dissemination index, conduct timeline curve analysis, and focus on data with singular values.

[0086] The specific implementation content of each module can be found in the above definition of a method for identifying popular cultural and tourism products based on the Internet content dissemination index, which will not be repeated here.

[0087] In one embodiment, a computer-readable storage medium is further provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method of the above embodiment are implemented.

[0088] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. A method for identifying popular cultural and tourism products based on the Internet content dissemination index, characterized by: include: Data collection: Collect data related to cultural tourism projects from multiple social media platforms and mainstream media, including account information, program content data of relevant cultural tourism IPs, and operational data; Cultural and tourism IP identification: By building an entity identification engine, we can identify cultural and tourism entities of different formats and conduct in-depth collection of program or article data related to cultural and tourism entities as the basis for subsequent analysis; Data standardization: The collected data are standardized, including: using the natural logarithm function for dimensional normalization, and using the maximum and minimum normalization method to normalize the data to the [0,1] interval; Calculate comprehensive indicators: Based on the standardized data and combined with preset weights, calculate the Internet content dissemination index of the cultural tourism project. The Internet content dissemination index includes the number of posts, the number of posting accounts, the number of active days of the topic, and the average number of interactions per post; Dynamic monitoring: By periodically evaluating the Internet content dissemination index and conducting timeline curve analysis, we focus on data with singular values, and adjust the strategy for cultivating popular cultural and tourism products accordingly.

2. The method for identifying popular travel products based on the Internet content dissemination index according to claim 1 is characterized in that: The formula for dimension normalization using the natural logarithm function is: y=ln(x+1) Where x represents the original data, that is, the unprocessed indicator values ​​collected, such as the number of likes, comments, and posts; y represents the data processed by the natural logarithm function, which is used for dimensional normalization and to eliminate the influence of singular values; The formula for normalizing the data to the [0,1] interval using the maximum and minimum normalization method is: z=(y-min(y)) / (max(y)-min(y)) Where z represents the data after maximum and minimum normalization processing, and the y value is standardized to the interval [0,1] to facilitate subsequent comprehensive evaluation.

3. The method for identifying popular travel products based on the Internet content dissemination index according to claim 1 is characterized in that: The cultural and tourism IP identification also includes: discovering relevant content of the same cultural and tourism IP in different channels by building a multi-rule IP identification and analysis engine.

4. The method for identifying popular travel products based on the Internet content dissemination index according to claim 1 or 3 is characterized in that: In the cultural tourism IP identification step, the subject identification engine identifies topic effects by identifying topic tag information in social media, and identifies cultural tourism IP content through text manuscripts or video content in mainstream media.

5. The method for identifying popular travel products based on the Internet content dissemination index according to claim 1 is characterized in that: In the step of calculating the comprehensive indicators, the importance of the platform is scored and a multi-dimensional assessment is conducted based on the number of publications, the number of publishing accounts, the number of active days of the topic, and the average number of interactions per article. Among them, the number of publications reflects the exposure of the operating IP on the social platform; the number of accounts involved in the published topic reflects the breadth of participation in the dissemination; the number of active days of the topic reflects the sustainability of the operating IP; and the average number of interactions per article reflects the objective data of the dissemination of the published content.

6. The method for identifying popular travel products based on the Internet content dissemination index according to claim 1 or 5, characterized in that: The indicators of number of posts, number of posting accounts, number of active days of topics, and average number of interactions per article all include cultural and tourism accounts and ordinary users to avoid the alienation of assessment and evaluation indicators.

7. The method for identifying popular travel products based on the Internet content dissemination index according to claim 1 is characterized in that: In the dynamic monitoring step, the timeline curve analysis includes analyzing the changing trend of the Internet content dissemination index over time to determine the dissemination effect and development trend of the cultural tourism project.

8. The method for identifying popular travel products based on the Internet content dissemination index according to claim 1 is characterized in that: The dynamic monitoring step also includes analyzing the causes of the data with singular values ​​and adjusting the strategy for cultivating popular cultural and tourism products based on the analysis results.

9. A hot travel product evaluation system based on the Internet content dissemination index, characterized by: include: Data collection module: used to collect data related to cultural tourism projects from multiple social media platforms and mainstream media, including account information, program content data of related cultural tourism IPs, and operational data; Cultural and tourism IP identification module: used to identify cultural and tourism entities of different formats and conduct in-depth collection of program or article data related to cultural and tourism entities; Data standardization processing module: used to standardize the collected data; Calculation of comprehensive indicators module: used to calculate the Internet content dissemination index of cultural tourism projects based on standardized data and preset weights; Dynamic monitoring module: used to periodically evaluate the Internet content dissemination index, conduct timeline curve analysis, and focus on data with singular values.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to claim 1 are implemented.

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