Prof. Ujjwal K Chowdhury
This is a compilation of almost all possible applications, concepts and AI Tools emerging and needed today in the various domains of media and communication if we have to be futuristic and efficient. This compilation along with short explanation of each, is provided by Prof Ujjwal K Chowdhury, a researcher in the domain of Media Convergence.
Media Convergence:
Media convergence refers to the merging of various media forms, technologies, and platforms into a unified and interactive experience. It involves the integration of traditional and digital media, breaking down silos between different communication channels. This convergence is driven by technological advancements, changing audience behaviours, and the desire to provide more dynamic and immersive content experiences. Media convergence refers to the integration and interaction of various media forms, such as print, broadcast, online, and social media. It has significantly impacted the fields of media, journalism, entertainment, advertising, and public relations.
Examples of Media Convergence:
Online News Platforms:
News organizations deliver content through websites, mobile apps, and social media, integrating text, images, videos, and interactive elements.
Social Media Journalism:
Journalists use social media platforms like Twitter and Instagram to report live events, share updates, and engage with the audience in real-time.
Social Media Advertising:
Advertisers leverage social media platforms like Facebook, Instagram, and Twitter to reach a wider audience. They use a mix of text, images, and videos to create engaging and shareable content.
Mobile Journalism (MoJo):
Journalists use smartphones to capture, edit, and share news stories, reducing the reliance on traditional broadcasting equipment.
Transmedia Storytelling:
Stories unfold across multiple platforms, including movies, TV shows, books, websites, and social media, creating a more immersive narrative experience.
Native Advertising on Social Media:
Advertisers seamlessly integrate promotional content into users’ social media feeds, matching the platform’s style and format.
Augmented Reality (AR) in Entertainment:
Entertainment experiences, such as concerts and sports events, incorporate AR elements to enhance audience engagement and interaction.
Interactive Advertising:
Advertisers create interactive campaigns that engage audiences through quizzes, polls, and other participatory elements across various media channels.
E-commerce Integration in Entertainment:
Entertainment platforms offer seamless e-commerce experiences, allowing users to purchase products related to movies, TV shows, or events directly through the platform.
Virtual Reality (VR) in Gaming:
Gaming experiences are enhanced through VR, providing players with immersive and interactive environments.
Augmented Reality (AR) in Entertainment:
Entertainment industries use AR to enhance user experiences, such as providing additional information or interactive elements during live events, TV shows, or movies.
Livestreaming Events:
Events, conferences, and concerts are livestreamed on various platforms, allowing a global audience to participate in real-time.
Development Communication through Social Media:
Development organizations use social media to communicate messages, share success stories, and engage with communities in a more direct and interactive manner.
Crowdsourced Content:
Media outlets gather content from the audience, such as user-generated videos and photos, to enhance storytelling and news coverage.
Mobile Apps for News and Entertainment:
Users access news, entertainment, and social content through integrated mobile applications, providing a centralized hub for various media experiences.
Influencer Marketing:
Brands collaborate with influencers who create content across different media platforms, bridging the gap between advertising and organic content.
Collaborative Content Creation:
Media professionals collaborate on projects using online platforms, sharing resources and expertise to create more comprehensive content.
Integrated Marketing Communication (IMC):
Brands create cohesive marketing campaigns across multiple channels, ensuring consistency in messaging and branding.
Live-Tweeting and Social Listening:
Viewers engage in real-time conversations on social media platforms while watching TV shows or live events, creating a shared and interactive experience.
Digital Signage in Event Management:
Events utilize digital signage to display dynamic content, schedules, and sponsor advertisements, enhancing the overall attendee experience.
These examples highlight the diverse ways in which media convergence is reshaping communication across various sectors, fostering a more interconnected and dynamic media landscape.
Multimedia Journalism:
Journalists now use a combination of text, images, videos, and interactive elements to tell stories. News organizations publish content across different platforms, from traditional newspapers to websites and social media.
Transmedia Storytelling:
Entertainment companies create stories that span multiple platforms, such as movies, TV shows, books, games, and social media. Fans can engage with the narrative across various channels, enhancing their overall experience.
Native Advertising:
Advertisers seamlessly integrate promotional content into the editorial context of various media platforms. This blurs the lines between traditional advertising and editorial content, making it more engaging for audiences.
Interactive Public Relations Campaigns:
Public relations efforts incorporate interactive and multimedia elements, such as virtual events, live streams, and social media engagement, to create a more immersive and participatory experience for the audience.
Convergent Newsrooms:
News organizations have converged their newsrooms to produce content for print, online, and social media simultaneously. Journalists often use the same information to create stories across different formats. News organizations merge print, broadcast, and online newsrooms to produce and deliver news content across multiple platforms simultaneously.
Podcasting and Radio Integration:
Radio stations and traditional broadcasters have embraced podcasting as an additional platform to distribute content. This integration allows for greater flexibility and accessibility for listeners. Traditional radio content is repurposed as podcasts, allowing users to consume audio content on-demand through various platforms. Now podcasting can refer to video interviews, largely.
E-commerce Integration in Entertainment:
Entertainment platforms, especially those related to streaming services, often integrate e-commerce functionalities. For example, viewers can directly purchase products related to a show or movie they are watching.
Personalized Content Delivery:
Media companies use data analytics to understand audience preferences. This information is then utilized to personalize content recommendations, advertisements, and news delivery across various platforms.
These examples illustrate how media convergence is a dynamic force shaping the way information is created, distributed, and consumed in the modern media landscape.
Here are some AI tools that were prominent in aiding journalism:
Google Cloud Natural Language API:
Use: This API can analyze text and extract information about entities, sentiment, and syntax. Journalists can use it to understand public opinion, sentiment around a particular topic, or to extract key entities from articles for further research.
IBM Watson Discovery:
Use: Watson Discovery can analyze large sets of unstructured data, such as news articles, to identify trends, sentiment, and key insights. Journalists can use it for in-depth research and to discover hidden patterns within a large corpus of text.
Talkwalker:
Use: Talkwalker is a social media analytics tool that utilizes AI to monitor and analyze social media platforms. Journalists can use it to track trending topics, monitor public sentiment, and identify influential voices on social media regarding specific issues.
Quill by Narrative Science:
Use: Quill is an AI-powered platform that can turn data into natural language. Journalists can use it to automatically generate reports or articles from structured data sets, making it useful for data-driven journalism.
Diffbot:
Use: Diffbot is a tool that uses machine learning to transform web pages into structured data. Journalists can use it to scrape and extract relevant information from online articles and websites, helping in efficient content curation and research.
Grammarly:
Use: While not strictly an AI tool for journalism, Grammarly uses AI algorithms to help improve writing by providing suggestions for grammar, spelling, and style. Journalists can use it to enhance the quality of their articles and ensure clarity in their writing.
OpenAI GPT:
Use: Journalists can use large language models like GPT4.5 and GPT5 for various tasks such as generating human-like text, summarizing articles, and even assisting in brainstorming ideas. These models can be fine-tuned for specific journalistic applications.
Other Generative AI Tools useful in background writing and reports are Google Gemini, Microsoft Co-Pilot, Deepseek, Perplexity.
Peltarion:
Use: Peltarion is an AI platform that enables users to build, train, and deploy machine learning models. Journalists with some technical knowledge can leverage it to create custom models for tasks like sentiment analysis or topic classification.
Remember that while these tools can be powerful aids, human judgment and verification are essential in journalism. Journalists should critically evaluate the outputs of these tools and ensure the accuracy and reliability of the information they use in their articles. Additionally, the availability and features of these tools may have changed since my last update, so it’s a good idea to check for the latest information.
Top AI Tools useful in Advertising, PR and branding
Several AI tools were being used in advertising, public relations (PR), and branding for content research, campaigns, and creative content development. Keep in mind that the landscape of AI tools can evolve rapidly, so there may be new tools or updates since then. Here are some AI tools that were prominent in these fields:
Albert:
Use: Albert is an AI-driven marketing platform that uses machine learning to automate and optimize advertising campaigns across various channels. It can analyze large datasets, identify patterns, and make real-time adjustments to improve the performance of advertising campaigns.
Cortex by AdExtent:
Use: Cortex is an AI tool that assists in creative content development for digital advertising. It uses machine learning to analyze the performance of ad creatives and suggests variations based on what is likely to resonate with the target audience.
Meltwater:
Use: Meltwater is a media intelligence platform that uses AI to monitor and analyze media coverage. It helps in tracking brand mentions, monitoring competitors, and identifying trends. PR professionals can use Meltwater to gain insights into public perception and inform their PR strategies.
Persado:
Use: Persado uses AI to generate persuasive and emotionally resonant language for marketing and advertising content. It can analyze the emotional impact of different words and phrases, helping marketers create more effective and engaging messaging.
Albert AI:
Use: Albert AI is an autonomous AI platform for digital marketing. It leverages machine learning to automate and optimize various aspects of digital advertising, including targeting, creative optimization, and budget allocation.
Zyro:
Use: Zyro is a platform that uses AI to assist in website design and branding. It can generate creative content, suggest design elements, and help users build professional-looking websites. This is particularly useful for small businesses or individuals looking to establish an online presence.
ChatGPT (or similar language models):
Use: Language models like ChatGPT can be used for brainstorming and generating creative content ideas. Marketers and content creators can use these models to draft ad copy, social media posts, or other written content.
Brandwatch:
Use: Brandwatch is a social media listening and analytics tool that utilizes AI to analyze online conversations and trends. It helps brands understand sentiment, identify influencers, and track the impact of their campaigns on social media.
Adobe Sensei:
Use: Adobe Sensei is an AI and machine learning platform integrated into Adobe’s creative and marketing tools. It assists in tasks like image recognition, personalization, and content optimization, enhancing the creative process for designers and marketers.
Vennli:
Use: Vennli is a platform that uses AI to analyze customer feedback and market data. It helps businesses understand customer preferences and competitive positioning, enabling more effective marketing and branding strategies.
It’s important to note that the effectiveness of these tools often depends on how well they are integrated into an organization’s overall marketing and branding strategy. Additionally, the availability and features of these tools may have changed since my last update, so it’s advisable to check for the latest information.
Top AI Tools useful in radio, film and television
Several AI tools were being used in radio, film, and television for content research, audio, and video content development. The landscape of AI tools can evolve rapidly, so there may be new tools or updates since then. Here are some AI tools that were prominent in these domains:
Descript:
Use: Descript is an AI-driven audio and video editing tool. It utilizes AI to transcribe spoken words into text, making it easy to edit audio and video content by manipulating the text directly. Users can edit the transcript, and the changes are reflected in the audio or video.
IBM Watson Captioning:
Use: This tool by IBM Watson uses AI to automatically generate captions for videos. It helps in making video content more accessible and improves the user experience for those who prefer or require captions.
Lumen5:
Use: Lumen5 is an AI-powered video creation platform. It can analyze text and automatically generate video content based on written articles or scripts. This is particularly useful for creating engaging video content for social media or promotional purposes.
Wibbitz:
Use: Wibbitz is an automated video creation platform that uses AI to turn text-based content into video. It can be used in newsrooms to quickly produce video news summaries or in marketing to convert blog posts into engaging video content.
Google Cloud Video AI:
Use: Google Cloud Video AI offers capabilities such as video analysis, shot change detection, and content moderation. Media professionals can use it for content organization, moderation, and extracting valuable insights from video content.
Sonantic:
Use: Sonantic is an AI tool that specializes in voice and speech technology. It can be used in the film and gaming industries to create realistic and emotionally expressive virtual voices for characters.
AIVA:
Use: AIVA (Artificial Intelligence Virtual Artist) is an AI tool that can compose music. It is used in the film and television industry to generate original soundtracks and background music for various audiovisual projects.
Vidrovr:
Use: Vidrovr uses AI to analyze video content and extract relevant information. It can be employed in media organizations for content discovery, making it easier to find and repurpose existing video content.
VidMob:
Use: VidMob is a platform that uses AI to analyze video content and provides insights for content creators. It can help in understanding audience engagement and preferences, guiding the development of future video content.
Synthetic Voices (Various Providers):
Use: AI-driven synthetic voices can be used to generate narration or voiceovers for radio, film, and television projects. These voices can be customized for different tones and styles, offering flexibility in audio content creation.
Remember that while these tools can enhance efficiency and creativity in content creation, human oversight and creativity remain crucial, especially in industries that rely heavily on storytelling and artistic expression. Additionally, the availability and features of these tools may have changed since my last update, so it’s advisable to check for the latest information.
Top AI Tools useful in digital communication
Several AI tools were being used in digital communication for content research and development. The landscape of AI tools can evolve rapidly, so there may be new tools or updates since then. Here are some AI tools that were prominent in digital communication:
BuzzSumo:
Use: BuzzSumo uses AI to analyze social media trends and identify popular content. It helps content creators and digital marketers understand what topics are trending and what type of content is performing well on various platforms.
Crystalknows:
Use: Crystal uses AI to analyze public data and predict communication styles. It provides insights into how to communicate effectively with different individuals, making it useful for personalized and targeted messaging.
Hootsuite Insights Powered by Brandwatch:
Use: Hootsuite Insights, powered by Brandwatch, is a social listening tool that employs AI to analyze social media conversations. It helps businesses understand brand sentiment, track industry trends, and gather insights for content strategy.
Emotional Analysis Tools (e.g., Receptiviti, Affectiva):
Use: Emotional analysis tools use AI to analyze the emotional tone of written or spoken content. In digital communication, these tools can help understand the emotional impact of messaging and tailor content to evoke specific emotional responses.
Acrolinx:
Use: Acrolinx is a content optimization platform that uses AI to analyze and improve the quality of written content. It ensures that digital content aligns with brand guidelines, is grammatically correct, and resonates with the target audience.
Concured:
Use: Concured is an AI-powered content marketing platform. It uses natural language processing (NLP) to analyze content performance and provides insights to optimize content strategy for better engagement and visibility.
HubSpot Content Strategy Tool:
Use: HubSpot’s Content Strategy tool uses AI to analyze topics and keywords to help marketers and content creators create more effective and relevant content. It assists in optimizing content for search engines and improving overall content strategy.
Clearscope:
Use: Clearscope uses AI to analyze and optimize content for search engine optimization (SEO). It helps content creators understand the competitive landscape for specific keywords and ensures that content is well-optimized for search engines.
Atomic Reach:
Use: Atomic Reach uses machine learning to analyze content and provide recommendations for improvement. It helps content creators tailor their writing style and content structure to better resonate with their target audience.
Phrasee:
Use: Phrasee is an AI tool focused on email marketing. It uses natural language generation to optimize email subject lines and copy for better engagement and click-through rates.
These tools can be valuable in streamlining content creation processes, ensuring content resonates with the target audience, and optimizing digital communication strategies. It’s important to note that while AI tools can provide valuable insights, human judgment and creativity remain crucial in crafting authentic and compelling content. Additionally, the availability and features of these tools may have changed since my last update, so it’s advisable to check for the latest information.
Top AI Tools useful in SEO Optimized Keywords friendly content
Several AI tools were being used in SEO for keyword-friendly content research and development. The SEO landscape evolves rapidly, so there may be new tools or updates since then. Here are some AI tools that were prominent for SEO-optimized keyword research and content development:
SEMrush:
Use: SEMrush is a comprehensive SEO tool that includes features for keyword research. It provides insights into competitors’ strategies, suggests relevant keywords, and helps users track keyword rankings. The Content Marketing Toolkit can assist in creating SEO-friendly content by analyzing top-performing articles for specific keywords.
Ahrefs:
Use: Ahrefs is another powerful SEO tool that offers keyword research features. It helps identify high-volume keywords, analyze backlinks, and track keyword rankings. Ahrefs can be used to understand which keywords competitors are targeting and to discover content gaps in your niche.
Google Keyword Planner:
Use: Google Keyword Planner is a free tool within Google Ads that helps users find relevant keywords for their content. It provides insights into search volume, competition, and suggests related keywords. It’s particularly useful for aligning content with terms that users are actively searching for on Google.
Yoast SEO:
Use: Yoast SEO is a WordPress plugin that helps optimize on-page SEO. It offers real-time suggestions for content optimization, including keyword placement, readability, and metadata. It’s a practical tool for those creating content on WordPress websites.
Surfer SEO:
Use: Surfer SEO is an AI-driven tool that analyzes top-performing content for specific keywords and provides recommendations for optimizing your content. It includes features like Content Editor, which guides users in creating SEO-friendly content by suggesting keyword placement and content structure.
MarketMuse:
Use: MarketMuse uses AI to analyze content and provide insights for optimizing it based on SEO best practices. It helps users identify relevant topics, optimize existing content, and create new content that aligns with user intent and search engine requirements.
AnswerThePublic:
Use: AnswerThePublic uses AI to generate content ideas based on the questions people are asking online. It’s a useful tool for understanding user intent and creating content that addresses specific queries, ultimately improving SEO by targeting long-tail keywords.
TextOptimizer:
Use: TextOptimizer uses semantic analysis to suggest improvements for content based on SEO. It provides recommendations for including relevant terms and phrases to enhance the content’s relevance to search engines.
Clearscope:
Use: Clearscope uses AI to analyze content and provide insights for optimizing it for specific keywords. It helps content creators understand the competitive landscape for keywords and ensures that content is well-optimized for search engines.
BiQ:
Use: BiQ is an AI-powered SEO tool that offers features like keyword intelligence, content intelligence, and rank intelligence. It helps users discover valuable keywords, optimize content, and track their SEO performance.
When using these tools, it’s essential to combine AI insights with human creativity and understanding of the target audience. While AI can provide valuable data and suggestions, human judgment remains crucial for creating engaging and relevant content. Additionally, the availability and features of these tools may have changed since my last update, so it’s advisable to check for the latest information.
Top AI Tools useful for photographic and video content
Several AI tools are being used in photographic and video content research and development. The field of AI in visual content has likely evolved since then, but here are some notable tools that were prominent for these purposes:
Adobe Sensei:
Use: Adobe Sensei is an AI and machine learning platform integrated into Adobe’s creative tools, including Photoshop and Premiere Pro. It enhances the creative process by offering features like intelligent image and video analysis, automated tagging, and content-aware fill, making it easier for creators to manipulate and optimize visual content.
Google Cloud Vision AI:
Use: Google Cloud Vision AI provides powerful image analysis capabilities. It can be used to detect objects, extract text, and identify faces within images. This is beneficial for content creators who want to organize and understand the content of large visual datasets.
IBM Watson Visual Recognition:
Use: Watson Visual Recognition by IBM utilizes deep learning algorithms to analyze and tag visual content. It can be applied to tasks such as classifying images, detecting faces, and training custom models for specific visual recognition needs.
Vimeo’s Magisto:
Use: Magisto is a video editing tool that uses AI to automatically edit and enhance videos. It analyzes video content, selects the most engaging parts, and applies appropriate transitions and effects. This is particularly useful for creating polished video content without extensive manual editing.
RunwayML:
Use: RunwayML is a platform that allows creators to use pre-trained machine learning models for various creative tasks, including image and video processing. It enables artists and developers to integrate AI capabilities into their visual content projects.
DeepArt.io:
Use: DeepArt.io uses deep neural networks to apply artistic styles to photographs and videos. It allows content creators to transform their visuals into different art styles, providing a unique and creative approach to visual content development.
DALL-E by OpenAI:
Use: DALL-E is a generative model developed by OpenAI that can create unique images from textual descriptions. It has potential applications in generating diverse and creative visual content based on textual prompts.
Lumen5:
Use: Lumen5 is an AI-powered video creation platform that transforms text content into engaging video presentations. It uses natural language processing to understand the context of written content and pairs it with relevant visuals and animations.
Cogniac:
Use: Cogniac is a visual AI platform that can be trained to recognize and analyze specific visual patterns within images and videos. It’s applicable to industries such as manufacturing, retail, and security for automating visual inspection and analysis.
Clarifai:
Use: Clarifai offers visual recognition AI models that can be used for image and video analysis. It can be applied to tasks such as object detection, facial recognition, and content moderation, providing valuable insights for visual content creators.
These tools can significantly enhance the efficiency and creativity of visual content creation. Content creators can leverage AI to automate certain tasks, generate unique visual styles, and gain insights into the content of their images and videos. However, it’s important to note that while AI can be a powerful tool, human creativity and judgment remain essential in the visual content creation process. Additionally, the availability and features of these tools may have changed since my last update, so it’s advisable to check for the latest information
AI Tools in Plagiarism Check:
Several AI tools are designed to help check plagiarism in content development or reports. These tools use advanced algorithms and databases to compare submitted content against a vast array of sources, identifying potential instances of plagiarism. Here are various AI tools commonly used for plagiarism detection:
Turnitin:
Effectiveness: Turnitin is widely used in academic settings. It compares submitted papers against a vast database of academic content, including papers, articles, and other academic resources. Turnitin provides a similarity score, highlighting potential matches and sources of content.
Grammarly Plagiarism Checker:
Effectiveness: Grammarly offers a plagiarism checker feature that scans text against billions of web pages and ProQuest’s academic databases. It provides users with a plagiarism percentage and identifies potential sources of duplication.
Quetext:
Effectiveness: Quetext is an online plagiarism checker that scans content for similarities and provides a detailed report. It highlights the specific sections that may be considered plagiarized and helps users identify and rectify potential issues.
Copyscape:
Effectiveness: Copyscape is commonly used to check for plagiarism on the web. It scans content and identifies if similar or identical content exists elsewhere on the internet. It’s particularly useful for website content and online publications.
Plagscan:
Effectiveness: Plagscan is a plagiarism detection tool used in academic and professional settings. It compares submitted documents against a large database and provides a detailed report on potential instances of plagiarism.
Unicheck:
Effectiveness: Unicheck is an AI-powered plagiarism detection tool that integrates with learning management systems. It checks submitted assignments against a vast database and provides similarity reports, helping educators and students maintain academic integrity.
Small SEO Tools: Plagiarism Checker:
Effectiveness: Small SEO Tools offers a free online plagiarism checker that scans content against the web and other databases. While it may not be as comprehensive as some premium tools, it can still be effective for basic plagiarism checks.
PlagiarismChecker.com:
Effectiveness: PlagiarismChecker.com is an online tool that compares text against an extensive database of academic and online content. It provides a detailed report with highlighted sections where potential plagiarism is detected.
DupliChecker:
Effectiveness: DupliChecker is a free online plagiarism checker that scans content against a large database. It provides a similarity percentage and highlights potential matches, helping users identify and address plagiarism concerns.
PlagScan (Plagiarism Analysis):
Effectiveness: PlagScan is a tool that offers a comprehensive analysis of documents for plagiarism. It checks content against academic databases, journals, and the web, providing a detailed report with highlighted similarities.
While these tools are generally effective, it’s important to note that no plagiarism detection tool is perfect. The effectiveness may vary based on the comprehensiveness of their databases, algorithms, and the types of content they are designed to analyse. Users should also interpret results carefully, as some instances of similarity may be legitimate, such as common phrases or quotations. Additionally, manual review and human judgment are crucial for accurately determining whether content constitutes plagiarism.
About the Author
Prof. Ujjwal Anu Chowdhury is the Director General of the Management School of Events, Entertainment and Design (MSEED), Bharatiya Vidya Bhavan, Mumbai. He has extensive experience in media education, having served earlier as Dean of Amity University and DGMC Media College, Mumbai University, as well as Director of NSHM Media & Design School. He has also been Dean of Symbiosis Media School and Whistling Woods International.
In addition to his academic leadership, Prof. Chowdhury has contributed significantly as a writer (for New Business Age in Kathmandu and New Global Indian in India), editor (NBA and NGI), public speaker, and civil society activist, particularly in the areas of skilling and environmental sustainability.
His areas of specialization include convergent media education, 360-degree content generation, issues of the Indian diaspora, and civil society activism focused on good governance and green initiatives.
Image: https://stock.adobe.com/
