The in-depth development and rapid popularity of artificial intelligence generated content (AIGC)，Bringing new variables to bet365 bonus code pa work。AIGC from the content level、Corpus level、Algorithm level，Reshaping the new scene of bet365 bonus code pa work under the "human-computer symbiosis" network ecology from the outside to the inside。bet365 bonus code pa big data helps identify content tendencies、Account network analysis、Issue joint game and other dimensions，Carry out monitoring and early warning、Summary and response、Passive defense of filtering and traceability，And accurately reach the audience、Precise control issues、Active planning of fine management platform，It is of great significance for fighting a good network security offensive and defensive war。

　　AIGC’s multi-layered challenge to bet365 bonus code pa

AIGC’s superficial challenge to network security，Reflected in the content generation level of bet365 bonus code pa propaganda。The content is presented at low cost、Fast speed、True form、Characteristics such as strong emotions。On the one hand，AIGC significantly reduces content generation costs，Marginal costs are significantly reduced after centralized development and training in the early stage。This ability to generate quickly enables bet365 bonus code pa propagandists to respond quickly to news events、Social trends or political changes，So as to grasp the key directions of information dissemination more flexibly。On the other hand，AIGC is expected to generate “flexible” personified expressions、“Deep” smooth content，Enabling bet365 bonus code pa work by responding to pain points、Response to appeal、Methods such as mobilizing emotions，To stimulate the audience’s inner emotional response in a more targeted manner。Meanwhile，The combination of AIGC and wrong ideology will be more covert、Permeability，The masking effect of false public opinion consensus may further increase the difficulty of bet365 bonus code pa work。

AIGC’s mid-level challenge to network security，Reflected in the corpus training level of bet365 bonus code pa propaganda。Data Poisoning、Label poisoning、AI poisoning and other corpus pollution attacks，It is a typical method of the current escalating bet365 bonus code pa malicious attacks。First，Data poisoning is the more basic form，i.e. false、Extreme or misleading text corpus is injected into AIGC’s training data。Secondly，Label poisoning focuses on the labels or categories of the training data，Make the model learn the error correspondence，Incorrectly marking data tags as tags that do not match the actual content，Realizing the reversal of reality and reality in content generation、Yang Feng Yin Biao，Diffusion of historical nihilism through “hijacking narratives”。On this basis，AI poisoning is a deeper threat to artificial intelligence systems，To combat sample attacks、Model disturbance and other methods，Beyond single data or tag poisoning，Interfering with the AIGC platform from lower-level technical logic，Generate ideologically misleading content on a larger scale，Becoming a “digital weapon of destruction” that cannot be underestimated in bet365 bonus code pa work。

AIGC’s deep challenge to network security，The level of algorithmic learning reflected in bet365 bonus code pa propaganda。Computing propaganda relies on artificial intelligence、Deep learning and other technical means，Intensified cognitive competition and emotional competition in bet365 bonus code pa work，A new round of struggle that may lead to bet365 bonus code pa "algorithmic hegemony"。Wrong bet365 bonus code pa content is learned by the AIGC large model，The relevant information output subsequently will flow back to the network，Becoming the wrong raw material for further learning and processing，The error messages of the old and new versions overlap each other、Intensifying，This will form a “harmful spiral” of bet365 bonus code pa content production。After subsequent information distribution enters the public domain，May further stimulate bet365 bonus code pa divisions、Prejudice、Extremization and other issues。Therefore，Future competition for AIGC technology，It is very likely to become a new focus of great power competition。

　Monitoring dynamic changes in bet365 bonus code pa voice volume

Facing the challenges brought by AIGC to the bet365 bonus code pa field，bet365 bonus code pa big data may provide opportunities for effective insights into bet365 bonus code pa risks。bet365 bonus code pa big data mainly monitors social media、Data such as public articles and online discussions，Use different bet365 bonus code pa contents and account information as learning corpus，Form an bet365 bonus code pa keyword dictionary，In order to continuously monitor the dynamic changes in bet365 bonus code pa voice volume，Describe multiple channels、Multiple platforms、Feedback on reaching multiple audience groups，Timely discovery of abnormal propagation nodes and risky content，For the control of relevant competent authorities、Provide technical support for response work。Specifically，bet365 bonus code pa big data is expected to be from the content level、Account level、Issue level，Provide technical support to assist network security。

First, the tendency identification of bet365 bonus code pa-related content。bet365 bonus code pa big data is based on massive multi-modal data，Deep Learning Liberalism、Conservatism、bet365 bonus code pa bias characteristics such as relative neutrality，Measuring the left-right tendency of different bet365 bonus code pa information contents、Emotional Tendency、Communication Trend，Predict the coverage and influence of relevant content。bet365 bonus code pa big data helps to quickly grasp sensitive changes in public opinion，Facilitate timely measures to deal with potential network security threats。

The second is network analysis of accounts involved in ideology。bet365 bonus code pa big data can also be used to analyze account information and interaction patterns on the Internet。By analyzing the content structure of the account、Forwarding relationship、Timing characteristics, etc.，Can locate risk-sensitive persons、Moderate、Extremists and other account attributes，Identify possible fake or automated social bot accounts。At the same time，Network analysis helps reveal key players and information dissemination paths in bet365 bonus code pa networks，Revealing the potential forces and core participants behind the scenes，Analyze its key role in spreading specific bet365 bonus code pa information，Helps develop targeted response strategies。

The third is the joint game on bet365 bonus code pa risk issues。On the one hand，Ideology big data can be classified through category indicators、Quantitative indicator、Time series indicators, etc.，It is an independent issue、Joint issues provide quantitative risk assessment standards。On the other hand，By analyzing human-machine games、The tactics and intentions of machine games，bet365 bonus code pa big data can provide reference for refined responses to comprehensive issues，Prioritize response steps based on risk levels，Improve bet365 bonus code pa work efficiency。

　　New model of bet365 bonus code pa propaganda

The "offense" and "defense" of ideology，Is the core issue of building a strong network security barrier。Core functional features of big data based on ideology，bet365 bonus code pa work is expected to shift from passive to active，Two aspects cooperate to strengthen network security construction。Facing the mighty torrent of bet365 bonus code pa information，bet365 bonus code pa big data provides underlying data raw materials，AIGC becomes a production workshop integrating processes，Innovated the information production method and bet365 bonus code pa propaganda model。

Passive defense is the main task of current bet365 bonus code pa work。The key significance of bet365 bonus code pa big data based on AIGC for "prevention"，Building a strong network security barrier is mainly reflected in the "three-step" strategy。

The first step is monitoring and early warning。Traditional network security work relies more on keyword recognition，AIGC can be avoided through text transformation and multimedia fusion replacement。Multi-criteria dynamic control methods based on bet365 bonus code pa big data，Can propagate security attacks on network information in a mimic simulation environment、Simulate defense and other game behaviors，Further upgrade the monitoring and early warning methods of network risks，Promote scientific decision-making and legal decision-making in the era of artificial intelligence。

The second step is summary and response。For the detected network security issues，bet365 bonus code pa big data can cooperate with management departments，Understanding semantics at a concrete level、Context、Pragmatic and other communication factors，Grasp bet365 bonus code pa characteristics and communication laws at an abstract level。The resulting case library for network information dissemination security control、Strategy Library，Helpful in planning、Rating、Difference Category、For processing，Strive for the optimal management and control strategy for network information security。

The third step is filtering and tracing。The bet365 bonus code pa struggle is essentially a human struggle，Monitoring and response may be able to treat symptoms，And filter the information fog、The special interest groups behind traceability are conducive to the root cause。For specific accounts or information sources，bet365 bonus code pa big data can be based on information sensitivity、Hazardous、Influence and other factors，Levels、Divided weight、Tracing information by deadline、Flow Control、Automatic power reduction, etc.，In this way, we can achieve the counter-effect of correcting wrong ideology。

Active planning is a must for future bet365 bonus code pa work。The constructive significance of bet365 bonus code pa big data based on AIGC，The key to building a strong network security barrier is to target the audience、Issue、Breakthrough in the platform dimension。

The first thing is to accurately reach the audience，The audience is the recipient of information dissemination、Target objects of bet365 bonus code pa propaganda。bet365 bonus code pa big data helps to perceive the social background of the audience、Cultural habits、Values、Information receiving habits, etc.。AIGC content generation and dissemination based on this will be highly flexible and customizable，Generate and push promotional content that is more in line with audience needs and acceptance，Improve the information reach experience for different audience groups。

The second is the issue of precise regulation，The issue is the content of information dissemination、Core concerns of bet365 bonus code pa propaganda。bet365 bonus code pa big data can batch refine the diverse issues of bet365 bonus code pa propaganda，AIGC can generate rich multi-modal presentation forms on this basis，Accurate output according to the personalized needs of different scenarios。At the same time，bet365 bonus code pa big data based on AIGC can pay attention to the dynamic changes of issues，Perform issue tracking、Adjustment、Optimization，“Run quickly”，Multi-pronged approach，To adapt to the differences in issue promotion。

Finally, there is the fine management platform，Platform is the carrier of information dissemination，Important field of bet365 bonus code pa propaganda。bet365 bonus code pa big data can capture the communication characteristics of different platforms、User portrait、Radiation range, etc.，Systematic integration、Overall deployment of publicity strategies，Breaking through the barriers of bet365 bonus code pa propaganda between platforms。At the same time, AIGC can promptly capture the platform’s business strategies and user group adjustments and changes，Optimizing the algorithm and computing power distribution of bet365 bonus code pa big data，Lock platform promotion anchor。

Build a strong network security barrier，Need to grasp the "steering wheel" of technological innovation、The "ballast stone" of bet365 bonus code pa work。The challenges of AIGC’s new technological changes also contain opportunities，Make good use of the bet365 bonus code pa big data tool，Change passive into active，Strengthen position construction，It is an important test that demonstrates the wisdom and courage of major countries in cybersecurity governance。

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