In -depth development and rapid popularization of artificial intelligence generation content (AIGC)，Bring a new variable for ideological work。AIGC from the content level、Cormeity、Algorithm level，New scenes of ideological work under the "human -machine symbiosis" network ecology from the table and inside。Ideological big data helps to identify from content tendencies、Account Network Analysis、Topics Joint Games and other dimensions，Carry out monitoring and early warning、Summary and response、Passive defense of filtering and traceability，and accurately reach the audience、Precision regulation topic、Active planning of the fine management platform，It is important to fight the network security offensive and defensive war。

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AIGC's surface challenge to network security，The content of the content of ideological promotion。Its content shows low cost、Fast speed、Form True、Emotional strong characteristics。One aspect，AIGC significantly reduces the production cost of content，The marginal cost after centralized development training has been greatly reduced。This rapid generation ability enables ideological propagandists to quickly respond to news events、Social trends or political changes，Therefore, it is more flexible to grasp the key direction of information dissemination。On the other hand，AIGC is expected to generate "flexible" personality expression、"Deep" smoothing content，Make ideological work can respond to the pain point、Response request、Mobilize emotions and other methods，More targetedly stimulates the audience's internal emotional response。At the same time，The combination of AIGC and error ideology bet365 Play online games will be more hidden、permeability，The shielding effect of the consensus of false public opinion may further enhance the difficulty of ideological work。

AIGC challenge the middle level of network security，Corghematic training reflected in ideological promotion。Data poison、Tags poison、AI poisoning and other corpus pollution attacks，It is a typical way of malicious attacks that are currently upgraded。First，Data poisoning is a more basic form，is false、Extreme or misleading text Candida is injected into AIGC training data。Next，Label Poison Follow the label or category of training data，Make the model learning error corresponding to the relationship，Lag data label error as a label that does not match the actual content，Implement the virtual reality of content generation、Yang Fengyin violation，Paste the historical nihilism through "Hive narrative"。Based on this，AI poisoning is a deeper threat to the artificial intelligence system，Attack with samples、Model disturbance, etc.，Beyond a single data or label poison，From a more low -level technical logic interference AIGC platform，Generate larger ideas of ideology misleading，"Digital Killing Weapon" that cannot be underestimated in ideological work。

AidCC's deep challenge to network security，Algorithm learning in ideological propaganda。Calculation publicity relies on artificial intelligence、Deep learning and other technical means，Study cognitive competition and emotional competition in ideological work，A new round of wrestling for the ideological "algorithm hegemony" may be derived。Error ideological content is learned by AIGC models，The relevant information of its subsequent output will return to the network，Become a wrong raw material for further learning and processing，The error message of the new and old version wraps with each other、More and more intense，The "harmful spiral" produced by ideological content will be formed。Subsequent bet365 Play online games information distribution enters the public domain，May further stimulate ideological split、Bad、Extremely and other questions。Therefore，Competition for AIGC technology in the future，It is very likely to become a new focus point for the competition of great powers。

　Monitoring ideological sound quantity dynamic changes

Facing the challenge brought by AIGC in the field of ideology，Ideological big data may provide opportunities for effective insights that can be effective for ideological risks。Ideological big data is mainly through monitoring social media、Public articles and online discussion data，Use different ideological content and account information as learning corpus，Form the ideological key word library，Speed ​​to continuously monitor ideological sound volume dynamic changes，Describe multi -channel、Multi -platform、Touching the feedback of the multi -audience group，Timely discover abnormal communication nodes and risk content，The management and control of the relevant competent department、Provide technical support to deal with work。Specific speaking，Ideological big data is expected to from the content level、Account level、The topic level，Provide technical support for helping network security。

The first is the tendency recognition of ideological related content。Ideological big data is based on massive multi -modal data，Deep Learning Liberalism、Conservatives、Relatively neutral ideological bias features，Calculate the left and right tendencies of different ideological information content、Emotional tendency、Communication trend，The coverage and influence of prediction related content。Ideological big data helps quickly grasp the sensitive changes in public opinion，Easy to take corresponding measures in time to deal with potential network security threats。

The second is the network analysis of the account involved in ideology。Ideological big data can also be used to analyze the account information on the network bet365 best casino games and its interactive mode。By analyzing the content structure of the account、Forwarding relationship、timing features, etc.，Those who can position risk sensitive、Mild School、extremes such as extreme faction，Identify the possible false or automated social robot account。At the same time，Network analysis helps to reveal key participants and information dissemination paths in the ideological network，Reveal the potential forces and core participants behind the scenes，Analyze its key role in spreading specific ideological information，helps formulate targeted response strategies。

Third, a joint game of ideological risk issues。One aspect，Ideological big data can be through category indicators、Quantity indicator、timing indicator, etc.，Is an independent issue、Provide risk quantitative evaluation standards for joint issues。On the other hand，By analyzing the human -machine game、Tactics and intentions of machine games，Ideological big data can provide reference for refined response to comprehensive issues，Differentiated to the response to the severe jurisdiction in the response link according to the degree of risk，Improve ideological work performance。

　　New mode of ideological promotion

Ideological "attack" and "defending"，is the core topic of building a network security barrier。Core functional features based on ideological big data，Ideological work is expected to shift from passive to active，Two phases to strengthen network security construction。Facing the mighty flow of ideological information，Ideological big data provides underlying data raw materials，AIGC becomes a production workshop for the integration process，Remove the information production method and ideological publicity mode。

Passive defense is the main task of current ideological work。AIGC -based ideological big data for the key significance of "defense"，Building a network security barrier is mainly reflected in Bet365 lotto review the "three steps" strategy。

The first step is monitoring and early warning。Traditional network security work depends on keyword recognition，and AIGC can avoid it through text transformation with multimedia fusion replacement.。Traditional network security work depends on keyword recognition，It can be safely attacked on network information dissemination in a mimic simulation environment、Defense and other game behaviors to simulate，Monitoring and early warning method of further upgrading network risks，Promote the scientific decision and decision -making of the era of artificial intelligence。

The second step is to summarize and respond。For the monitored network security issues，Ideological big data can cooperate with the management department，Understand semantics at the concrete level、Context、Protocol and other communication factors，Grasp ideological characteristics and dissemination laws at the abstract level。The case library for the security control of network information dissemination、Strategic Library，helps to plan、Assessment level、Differential categories、Treatment for treatment，The optimal control strategy to fight for network information security。

Step 3 is filtering and traceability。The struggle of ideology is essentially a human struggle，Monitoring and response may be cured，Filter information fog、Special interest groups behind traceability are conducive to cure。For a specific account or information source，Ideological big data can be based on information sensitivity、Harmicity、Influence and other factors，Division、Differential weight、Source traceability、flow control、Automatic Rights, etc.，To achieve a correction of the counter -effect of the error ideology。

Active planning is a must -have place for future ideology。AIGC -based ideological big data reflected in the constructive significance，Building a network security barrier is to realize the audience、issue、Breakthrough bet365 Play online games of the platform dimension。

First is to accurately reach the audience，The audience is the receiver of information dissemination、Objective object of ideological publicity。Ideological big data helps to perceive the social background of the audience、Cultural habit、Value concept、Information receiving habits, etc.。AIGC content generation and dissemination on this basis will have high flexibility and customization，Generation push is more in line with the needs of audience needs and acceptance.，Enhance the information of different audiences to reach experience。

Followed by precision regulation issues，The topic is the content of information dissemination、Core concern of ideological publicity。Ideological big data can refine the multiple issues of ideological publicity in batches，AIGC can generate rich multi -mode display forms on this basis，Export accurately for personalized needs of different scenes。At the same time，AIGC -based ideological big data can pay attention to dynamic changes in topics，Tracking the topic、Adjustment、Optimization，"Small step fast run"，Multi -tube nap，Change to adapt to the differences in the publicity of topics。

Finally, a fine management platform，The platform is the carrier of information dissemination，An important field of ideological publicity。Ideological big data can capture the propagation characteristics of different platforms、User portrait、Radiation range, etc.，Systemic integration、Global Distribution Publicity Strategy，Breaking the barriers of ideological publicity between platforms。At the same time, AIGC can capture the platform's business strategy in time and the adjustment and change of the user group，Optimized ideological big data algorithm and computing power distribution，Locking the platform promotion anchor point。

Build a network security barrier，You need to grasp the "steering wheel"、Ideological work "cockpit stone"。The challenges of the new technical change of AIGC bet365 Play online games also contain opportunities，Use the tools of consciousness big data，Passive is active，Strengthening position construction，It is an important test that highlights the wisdom and courage of network security governance in the country。

　　(the author is a researcher at the World Media Research Center of the Institute of Journalism and Communication of the Chinese Academy of Social Sciences)