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Geheime Korrespondenz (secret correspondence), by Carl von Bergen
A headstone message in the Jerusalem British World War I Cemetery on Mount Scopus

A message is a unit of communication that conveys information from a sender to a receiver. It can be transmitted through various forms, such as spoken or written words, signals, or electronic data, and can range from simple instructions to complex information.[1][2]

The consumption of the message relies on how the recipient interprets the message, there are times where the recipient contradicts the intention of the message which results in a boomerang effect.[3] Message fatigue is another outcome recipients can obtain if a message is conveyed too much by the source.[4]

One example of a message is a press release, which may vary from a brief report or statement released by a public agency to commercial publicity material.[5] Another example of a message is how they are portrayed to a consumer via an advertisement.

History

[edit]
Main article: History of communication

Roles in human communication

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In communication between humans, messages can be verbal or nonverbal:

  • A verbal message is an exchange of information using words. Examples include face-to-face communication, telephone calls, voicemails, emails, etc.
  • A nonverbal message is communicated through actions or behaviors rather than words, such as conscious or unconscious body language.

The phrase "send a message" or "sending a message" is also used for actions taken by a party to convey that party's attitude towards a certain thing. For example, a government that executes people who commit acts of treason is sending a message that treason will not be tolerated.[6] Conversely, a party that appears through its actions to endorse something that it opposes can be said to be "sending the wrong message",[6] while one which appears to simultaneously endorse contradictory things can be said to be sending "mixed messages".[7]

In computer science

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Events vs. Messages

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In distributed systems, events represent a fact or state change (e.g., OrderPlaced) and are typically broadcast asynchronously to multiple consumers, promoting loose coupling and scalability. While events generally don’t expect an immediate response, acknowledgment mechanisms are often implemented at the infrastructure level (e.g., Kafka commit offsets, SNS delivery statuses) rather than being an inherent part of the event pattern itself.[8][9]

In contrast, messages serve a broader role, encompassing commands (e.g., ProcessPayment), events (e.g., PaymentProcessed), and documents (e.g., DataPayload). Both events and messages can support various delivery guarantees, including at-least-once, at-most-once, and exactly-once, depending on the technology stack and implementation. However, exactly-once delivery is often achieved through idempotency mechanisms rather than true, infrastructure-level exactly-once semantics.[8][9]

Delivery patterns for both events and messages include publish/subscribe (one-to-many) and point-to-point (one-to-one). While request/reply is technically possible, it is more commonly associated with messaging patterns rather than pure event-driven systems. Events excel at state propagation and decoupled notifications, while messages are better suited for command execution, workflow orchestration, and explicit coordination.[8][9]

Modern architectures commonly combine both approaches, leveraging events for distributed state change notifications and messages for targeted command execution and structured workflows based on specific timing, ordering, and delivery requirements.[8][9]

See also

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References

[edit]
[edit]
Revisions and contributorsEdit on WikipediaRead on Wikipedia

Message

View on Grokipedia
from Grokipedia
A message is a discrete unit of communication that conveys information, ideas, emotions, or instructions from a sender to a receiver, typically through verbal, written, or symbolic means. In computing, it refers to a unit of data exchanged between processes or systems. In its essence, a message serves as the core element in the exchange of meaning, where the sender encodes content into a form suitable for transmission, and the receiver decodes it to interpret the intended significance. Within , messages are analyzed as dynamic components of interpersonal, group, organizational, and mass interactions, often influenced by , , and feedback loops that refine understanding between parties. Key models, such as the transmission model, portray messages as linear flows from to receiver, while transactional approaches emphasize their mutual and ongoing nature in creating shared realities. Messages can take diverse forms, including verbal expressions like spoken words or written text, nonverbal cues such as gestures and facial expressions, and visual elements like images or symbols, each adapted to the medium—whether face-to-face, digital, or broadcast—for effective delivery. The design and interpretation of messages are critical to their impact, requiring clarity, cultural sensitivity, and alignment with audience needs to minimize miscommunication and foster connections in personal, professional, and societal contexts. In fields like psychology, sociology, and media studies, messages are examined for their role in persuasion, socialization, and information dissemination, underscoring their foundational place in human interaction and technological advancements such as email, texting, and social media platforms.

Fundamentals

Definition

A message is defined as a discrete unit of conveyed from a to a receiver through a chosen medium, incorporating elements of , content, and contextual to facilitate understanding or action. In , this unit represents the encoded meaning or stimulus produced by the source, intended for interpretation by the recipient, regardless of the medium's form—whether verbal, written, or digital. Seminal work in , such as Claude Shannon's framework, conceptualizes a message as a sequence of selections from a set of possible symbols, where the measure of depends on the probabilities of those selections rather than their semantic meaning. The term "message" originates from the Latin verb mittere, meaning "to send," which evolved through missāticum (a thing sent) and message (a communication or dispatch carried by a messenger) before entering around the 13th century as a denoting something dispatched or communicated. This etymological root underscores the core idea of transmission, reflecting its historical association with physical or verbal conveyance over distances. A key distinction in separates a message from a signal: while a message carries semantic content or intended meaning derived from the sender's choices, a signal refers to the physical or syntactic carrier—such as a or sequence of bits—that transmits the message but may lack inherent meaning without contextual decoding. For instance, in Shannon's model, the message is the informational entity selected for transmission, whereas the signal is its modulated form propagated through a channel, potentially altered by . Illustrative examples of messages include a spoken like "Hello," which conveys greeting intent via auditory medium; a handwritten note stating instructions, transferring content through visual symbols; or a digital packet in a network, encapsulating for computational exchange. These cases highlight the message's role as a bounded of transfer, adaptable across and technical contexts.

Components and Structure

A message in consists of several core components that facilitate its transmission and reception. The sender, or source, originates the message by formulating an intent or idea to convey. The receiver is the intended recipient who interprets the message. The channel, or medium, serves as the pathway through which the message travels, such as spoken words, written text, or digital signals. The content represents the encoded itself, encompassing the substance of what is being communicated. encompasses the surrounding circumstances, including cultural, social, or environmental factors that influence meaning. Finally, the feedback loop allows the receiver to respond, enabling clarification or continuation of the exchange. One foundational structural model outlining these elements is the Shannon-Weaver model, which describes communication as a linear process involving a source that generates a message, an encoder that translates it into a transmittable signal, a channel for transmission, a decoder that reconstructs the signal, and a destination receiver. This model highlights how the structure impacts transmission fidelity by illustrating potential points of degradation along the path. For instance, disruptions in the channel can alter the message, reducing its accuracy upon receipt. Encoding involves transforming the sender's intent into a communicable form, such as converting thoughts into , symbols, or signals suitable for the chosen medium, while decoding is the receiver's process of interpreting that form back into meaning. These processes are prone to if the encoding does not align with the receiver's expectations or capabilities, leading to misinterpretation. functions as an inherent structural disruptor in this framework, introducing interference that compromises fidelity; examples include environmental factors like background sounds in oral messages or static in electronic transmissions.

Messages in Human Communication

Types

Messages in human communication are classified by form into verbal, nonverbal, and symbolic categories, each leveraging distinct elements to transmit meaning. Verbal forms rely on spoken or written words to articulate ideas, enabling precise and structured exchange in contexts like discussions or documents. Nonverbal forms involve bodily cues such as gestures, expressions, and posture, which often complement or substitute for words to convey or attitudes. Symbolic forms employ icons, signs, and arbitrary symbols—such as signals or emblems—to represent concepts without direct linguistic or physical resemblance, drawing on shared cultural conventions for interpretation. A notable example of nonverbal and symbolic variation occurs in settings, where the thumbs-up signifies approval and encouragement in many Western societies but functions as an obscene in parts of the and , highlighting how form influences message reception across contexts. Classification by medium further diversifies message types, encompassing oral, written, visual, digital, and multimodal channels that determine transmission and reception dynamics. Oral mediums, such as face-to-face speech or broadcasts, facilitate immediate, interactive delivery through sound. Written mediums, including letters and reports, provide permanence and allow for detailed elaboration. Visual mediums use images, diagrams, or videos to depict spatially. Digital mediums, like emails and instant texts, enable rapid, asynchronous exchange via electronic networks. Multimodal mediums integrate multiple channels, as in video calls that combine audio, visual cues, and text overlays for richer interaction. In digital contexts, memes exemplify hybrid mediums by fusing visual icons, textual captions, and cultural allusions to propagate concise, often humorous messages that spread virally across social platforms. Messages are additionally categorized by , reflecting their purpose in influencing the receiver: informative, persuasive, expressive, or directive. Informative intents focus on sharing objective facts or data to educate, such as in news reports or scientific explanations. Persuasive intents aim to sway opinions or prompt action, evident in campaigns or motivational speeches that appeal to logic, , or . Expressive intents convey personal feelings or attitudes, like sharing joy or frustration in casual conversations. Directive intents issue commands or guidance, as in instructions or requests that seek compliance. These categories underscore how a message's structural components—such as or tone—adapt to fulfill specific communicative goals.

Roles and Interpretation

Messages serve several primary roles in human communication, primarily by facilitating the exchange of ideas and influencing . One key function is conveying information, where messages act as organized stimuli to activate specific concepts or "meme states" in the receiver's mind, enabling shared understanding of facts or events. Another role involves influencing behavior through , as messages can shape attitudes and prompt actions by aligning the receiver's perspectives with the sender's intent, often seen in campaigns aimed at behavioral change. Messages also build relationships by maintaining interpersonal bonds, using interactional such as expressions of or to foster closeness and alleviate relational tension. Additionally, they signal status, where communicators use subtle cues like tone or symbolic displays to convey social position or , reinforcing in interactions. For instance, political leaders may "send a message" through policy decisions to assert or deter opposition without direct verbal exchange. The interpretation of messages is shaped by various factors that can lead to perceptual challenges and unintended outcomes. Receivers' biases, including preconceived notions and past experiences, often distort message comprehension, causing selective attention to elements that align with existing beliefs. Cultural further influences reception, as differing norms and values alter how symbols or phrasing are understood, potentially resulting in miscommunication across groups. in messaging exacerbates these issues, sometimes triggering the boomerang effect, where persuasive attempts backfire due to psychological reactance, prompting receivers to adopt opposing views as a defense against perceived threats to their . In contemporary digital communication as of 2025, the rise of AI-generated content and deepfakes introduces additional challenges, as these synthetic messages can mimic to deceive receivers, leading to , , and diminished trust in interpersonal and societal interactions. In societal contexts, messages carry significant social impacts, often determining the success of interactions or broader campaigns. Overload from excessive messaging, such as in or , induces message fatigue, reducing engagement and motivation to process information, as seen during high-volume communications where repeated exposure leads to desensitization. Positively, messages aid by enabling assertive expression of needs, such as through "I" statements that de-escalate tensions and promote collaborative problem-solving in interpersonal disputes. Conversely, in , messages are strategically crafted to manipulate perceptions and incite , exploiting emotional appeals to sway toward specific agendas, as in wartime efforts to unify support. A distinctive aspect of message interpretation lies in the distinction between semantic and pragmatic meaning in . Semantic meaning refers to the literal, propositional content of an , derived from its syntactic and lexical structure, while pragmatic meaning encompasses the speaker's intended implications, influenced by , tone, and social norms. This divide is evident in , where the semantic content (e.g., "You're a ") conveys praise literally, but pragmatic cues like intonation signal , leading to frequent detection failures in or digital communication due to absent nonverbal indicators.

Messages in Computing

Core Concepts

In computing, a message serves as a fundamental unit for data exchange between processes, devices, or systems, typically formatted as a discrete packet transmitted over networks or application programming interfaces (APIs). This digital adaptation emphasizes structured transmission to ensure reliable delivery and processing, distinct from interpretive by focusing on syntactic and technical . Key attributes of a computational message include the , which carries the core content such as text, binary, or serialized objects; headers, which provide essential metadata like source and destination identifiers, timestamps, or content types; and adherence to specific protocols that dictate formatting, , and error handling. For instance, in the HTTP protocol, messages comprise a start line (indicating method or status), followed by headers for contextual details, and an optional body. Similarly, MQTT messages feature a fixed header for packet type and length, an optional variable header for identifiers, and a for application-specific . Messages find broad applications in distributed systems for tasks like , where they facilitate coordination among nodes via to maintain consistency without . In messaging queues such as , messages are routed through exchanges to queues for decoupled, reliable delivery between producers and consumers. For real-time communication, protocols like WebSockets use messages framed with opcodes for text or binary data, headers for fragmentation and masking, and payloads for bidirectional exchange over persistent connections. A distinctive aspect of messages in modern architectures is their support for asynchronous communication, which decouples services and reduces latency by eliminating blocking waits for responses, particularly in where direct dependencies can amplify delays. For example, a JSON-formatted message in such a system might structure data as {"event": "user_registered", "user_id": 456, "timestamp": "2025-11-09T12:00:00Z"}, enabling efficient, non-blocking propagation across services.

Events vs. Messages

In , events represent transient occurrences or state changes that notify interested components of happenings within a , typically triggering asynchronous actions without expecting a direct response. For instance, events such as "OrderPlaced" or "UserLoggedIn" are stateless notifications that propagate through channels like event brokers, enabling decoupled, real-time reactions in distributed environments. These events are often broadcast to multiple consumers via publish/subscribe mechanisms, emphasizing immediacy and delivery, where the producer does not retain responsibility for processing outcomes. In contrast, messages serve as persistent, routable data units designed for reliable transmission between components, encompassing commands that initiate actions or queries that solicit responses. Unlike , messages incorporate delivery guarantees such as at-least-once or exactly-once semantics, often facilitated by queuing systems supporting point-to-point or publish/subscribe patterns to ensure and ordered processing. This persistence allows messages to be stored, retried, or dead-lettered if unprocessed, making them suitable for workflows requiring acknowledgment or coordination. The core distinctions between events and messages lie in their intent, lifecycle, and architectural patterns: events focus on notification and decoupling through stateless, asynchronous dissemination (e.g., in event sourcing, where state is reconstructed from an immutable log of past events rather than current snapshots), while messages emphasize request-response interactions or guaranteed delivery via . Events are inherently observational—"something happened"—and do not carry detailed payloads beyond signaling the occurrence, whereas messages convey structured instructions or data for targeted execution, often with routing headers for precise delivery. This dichotomy supports scalable designs; event sourcing appends changes as events for auditability and temporal queries, contrasting with middleware like queues that handle imperative messaging for operational reliability. In practical applications, such as systems, an event might signal an update (e.g., "ItemShipped" broadcast via Amazon SNS to notify logistics and analytics services asynchronously), while a message could queue a payment confirmation (e.g., a command routed through Amazon SQS for point-to-point processing with exactly-once guarantees to avoid duplicates). In , AWS SNS exemplifies event handling through fanout pub/sub for real-time notifications to multiple subscribers, whereas SQS provides message queuing for , persistent workflows like order processing, integrating seamlessly for hybrid scenarios. These patterns enhance system resilience by allowing events to decouple producers from consumers without blocking, while messages ensure transactional integrity in coordinated operations.

Historical and Cultural Development

Early Theories

The concept of a message traces its philosophical origins to , where early theories emphasized its role in and signification. In the BCE, outlined as the art of discovering the available means of in any given case, identifying three key elements— (the speaker's credibility), (appeal to emotion), and (appeal to logic)—as integral components of an effective message. These appeals formed the foundational structure for constructing messages that influence audiences, highlighting how content, delivery, and context interplay to convey intent. Complementing this, explored in dialogues such as the , debating the nature of signs and names as arbitrary yet conventional representations of reality, positing that messages rely on shared interpretations of linguistic symbols to bridge the gap between ideas and expression. During the medieval period, theoretical understandings of messages evolved through practical systems of transmission, particularly in where reliability and speed were paramount. Messenger roles, including human heralds who orally relayed diplomatic communications under flags of truce and carrier pigeons trained for homing, underscored messages as verifiable dispatches essential for and alliance-building across feudal . Earlier foundations appeared in ancient Persia around 550 BCE, where the established the Angarium, a relay-based postal system using mounted couriers to transport official messages along the , conceptualizing messages as structured, state-sanctioned entities for administrative control over vast territories. The Romans further refined this around 20 BCE with the , an imperial courier network of stations, horses, and wagons dedicated to expediting government messages, taxes, and officials, thereby institutionalizing messages as discrete, prioritized units in bureaucratic governance. The advent of in the 1830s marked a pivotal shift, redefining messages as instantaneous, discrete electrical signals decoupled from physical transport. Inventors like demonstrated this in with a practical electromagnetic telegraph, enabling messages to traverse distances in seconds via coded pulses, which challenged prior notions of messages as bound to human or animal carriers and introduced ideas of and immediacy in communication. In the mid-20th century, formal theories solidified the message as a core analytical unit. Claude Shannon's 1948 paper introduced , modeling messages as sequences of symbols selected from a with probabilistic uncertainty, quantifying their information content in bits to measure transmission efficiency amid , thus laying the groundwork for treating messages as quantifiable signals in technical systems. Building on linguistic traditions, proposed a communication model in the that expanded the message's role within a framework of six functions—referential, emotive, conative, phatic, metalingual, and poetic—emphasizing how messages operate across sender, receiver, context, code, contact, and channel to facilitate multifaceted human interaction.

Modern Evolution

Following World War II, the landscape of messaging underwent significant transformation with the proliferation of mass media, particularly television, which amplified the reach and persuasive power of messages in public discourse. By 1960, television had reached approximately 87% of U.S. households, rising to over 90% by the mid-1960s, enabling governments and advertisers to craft visually compelling narratives that shaped societal perceptions during the Cold War era. This shift marked a departure from print-based messaging toward broadcast formats that prioritized emotional impact over textual detail, influencing everything from political campaigns to consumer behavior. A seminal contribution to understanding this evolution came from Marshall McLuhan in his 1964 book Understanding Media: The Extensions of Man, where he posited the thesis "the medium is the message," arguing that the form of a medium inherently alters the content and societal effects of the message itself, regardless of its explicit meaning. The digital revolution further accelerated these changes starting in the 1970s, introducing electronic messaging systems that democratized global communication. The first networked email was sent in 1971 by over , a U.S. Department of Defense precursor to the , allowing messages to be exchanged between computers using the @ symbol for addressing, which laid the groundwork for modern email protocols. By 1992, short message service () emerged with the first text message—"Merry Christmas"—sent by Neil Papworth over the network in the UK, enabling concise, mobile-based interpersonal messaging that quickly became ubiquitous. The 2000s brought platforms like (launched 2004) and (2006), which facilitated instantaneous, multimedia messaging on a global scale, reaching hundreds of millions of users worldwide by the end of the decade, with alone surpassing 350 million active users. In the 2010s, integrated into messaging through chatbots, such as Apple's (released 2011), which used to interpret and respond to user queries in conversational formats, enhancing automated and personalized communication. Cultural and technological expansions in the have redefined messaging's role in and . The standardization of emojis by the in 2010, with 6.0 incorporating over 600 symbols, enabled universal visual messaging across languages and devices, fostering more expressive and inclusive global interactions. Concurrently, concerns prompted innovations like the Signal app, launched in 2014 as an open-source platform employing via the to secure messages against surveillance, influencing widespread adoption of secure messaging amid rising data breaches. By the 2020s, the volume of digital messages exploded, with handling over 100 billion messages daily across more than 2 billion users as of 2023; as of 2025, it has grown to over 3 billion monthly active users and more than 140 billion daily messages, driven by its integration into everyday social and business communication. This surge has led to emerging studies on message fatigue, particularly during the , where repetitive health alerts on contributed to , reduced engagement, and psychological reactance, prompting research into strategies for mitigating overload in high-volume messaging environments.

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